id	sid	tid	token	lemma	pos
fcis-30252	1	1	frontiers	frontier	NOUN
fcis-30252	1	2	in	in	ADP
fcis-30252	1	3	computing	computing	NOUN
fcis-30252	1	4	and	and	CCONJ
fcis-30252	1	5	intelligent	intelligent	ADJ
fcis-30252	1	6	systems	system	NOUN
fcis-30252	1	7	issn	issn	VERB
fcis-30252	1	8	:	:	PUNCT
fcis-30252	1	9	2832	2832	NUM
fcis-30252	1	10	-	-	SYM
fcis-30252	1	11	6024	6024	NUM
fcis-30252	1	12	|	|	NOUN
fcis-30252	1	13	vol	vol	NOUN
fcis-30252	1	14	.	.	PROPN
fcis-30252	2	1	11	11	NUM
fcis-30252	2	2	,	,	PUNCT
fcis-30252	2	3	no	no	INTJ
fcis-30252	2	4	.	.	NOUN
fcis-30252	2	5	3	3	NUM
fcis-30252	2	6	,	,	PUNCT
fcis-30252	2	7	2025	2025	NUM
fcis-30252	2	8	139	139	NUM
fcis-30252	2	9	acoustic	acoustic	ADJ
fcis-30252	2	10	emission	emission	NOUN
fcis-30252	2	11	signal	signal	NOUN
fcis-30252	2	12	diagnosis	diagnosis	NOUN
fcis-30252	2	13	of	of	ADP
fcis-30252	2	14	rolling	rolling	ADJ
fcis-30252	2	15	bearing	bear	VERB
fcis-30252	2	16	faults	fault	NOUN
fcis-30252	2	17	based	base	VERB
fcis-30252	2	18	on	on	ADP
fcis-30252	2	19	ceemdan	ceemdan	PROPN
fcis-30252	2	20	and	and	CCONJ
fcis-30252	3	1	messa‐svm	messa‐svm	PROPN
fcis-30252	3	2	zhang	zhang	PROPN
fcis-30252	3	3	xu	xu	PROPN
fcis-30252	4	1	*	*	PROPN
fcis-30252	4	2	,	,	PUNCT
fcis-30252	4	3	yu	yu	PROPN
fcis-30252	4	4	yang	yang	PROPN
fcis-30252	4	5	shenyang	shenyang	PROPN
fcis-30252	4	6	university	university	PROPN
fcis-30252	4	7	of	of	ADP
fcis-30252	4	8	technology	technology	PROPN
fcis-30252	4	9	,	,	PUNCT
fcis-30252	4	10	shenyang	shenyang	PROPN
fcis-30252	4	11	liaoning	liaoning	PROPN
fcis-30252	4	12	,	,	PUNCT
fcis-30252	4	13	110870	110870	NUM
fcis-30252	4	14	,	,	PUNCT
fcis-30252	4	15	china	china	PROPN
fcis-30252	4	16	*	*	PUNCT
fcis-30252	4	17	corresponding	correspond	VERB
fcis-30252	4	18	author	author	NOUN
fcis-30252	4	19	:	:	PUNCT
fcis-30252	4	20	zhang	zhang	PROPN
fcis-30252	4	21	xu	xu	PROPN
fcis-30252	4	22	(	(	PUNCT
fcis-30252	4	23	email	email	NOUN
fcis-30252	4	24	:	:	PUNCT
fcis-30252	4	25	15524501591@163.com	15524501591@163.com	NUM
fcis-30252	4	26	)	)	PUNCT
fcis-30252	4	27	abstract	abstract	NOUN
fcis-30252	4	28	:	:	PUNCT
fcis-30252	4	29	acoustic	acoustic	ADJ
fcis-30252	4	30	emission	emission	NOUN
fcis-30252	4	31	signals	signal	NOUN
fcis-30252	4	32	generated	generate	VERB
fcis-30252	4	33	during	during	ADP
fcis-30252	4	34	rolling	rolling	ADJ
fcis-30252	4	35	bearing	bear	VERB
fcis-30252	4	36	failures	failure	NOUN
fcis-30252	4	37	reflect	reflect	VERB
fcis-30252	4	38	their	their	PRON
fcis-30252	4	39	health	health	NOUN
fcis-30252	4	40	conditions	condition	NOUN
fcis-30252	4	41	,	,	PUNCT
fcis-30252	4	42	serving	serve	VERB
fcis-30252	4	43	as	as	ADP
fcis-30252	4	44	crucial	crucial	ADJ
fcis-30252	4	45	indicators	indicator	NOUN
fcis-30252	4	46	for	for	ADP
fcis-30252	4	47	to	to	PART
fcis-30252	4	48	address	address	VERB
fcis-30252	4	49	the	the	DET
fcis-30252	4	50	limitations	limitation	NOUN
fcis-30252	4	51	in	in	ADP
fcis-30252	4	52	feature	feature	NOUN
fcis-30252	4	53	extraction	extraction	NOUN
fcis-30252	4	54	and	and	CCONJ
fcis-30252	4	55	classification	classification	NOUN
fcis-30252	4	56	accuracy	accuracy	NOUN
fcis-30252	4	57	of	of	ADP
fcis-30252	4	58	traditional	traditional	ADJ
fcis-30252	4	59	methods	method	NOUN
fcis-30252	4	60	in	in	ADP
fcis-30252	4	61	acoustic	acoustic	ADJ
fcis-30252	4	62	emission	emission	NOUN
fcis-30252	4	63	signal	signal	NOUN
fcis-30252	4	64	to	to	PART
fcis-30252	4	65	address	address	VERB
fcis-30252	4	66	the	the	DET
fcis-30252	4	67	limitations	limitation	NOUN
fcis-30252	4	68	in	in	ADP
fcis-30252	4	69	feature	feature	NOUN
fcis-30252	4	70	extraction	extraction	NOUN
fcis-30252	4	71	and	and	CCONJ
fcis-30252	4	72	classification	classification	NOUN
fcis-30252	4	73	accuracy	accuracy	NOUN
fcis-30252	4	74	of	of	ADP
fcis-30252	4	75	traditional	traditional	ADJ
fcis-30252	4	76	methods	method	NOUN
fcis-30252	4	77	in	in	ADP
fcis-30252	4	78	acoustic	acoustic	ADJ
fcis-30252	4	79	emission	emission	NOUN
fcis-30252	4	80	signal	signal	NOUN
fcis-30252	4	81	,	,	PUNCT
fcis-30252	4	82	this	this	DET
fcis-30252	4	83	paper	paper	NOUN
fcis-30252	4	84	proposes	propose	VERB
fcis-30252	4	85	a	a	DET
fcis-30252	4	86	fault	fault	NOUN
fcis-30252	4	87	diagnosis	diagnosis	NOUN
fcis-30252	4	88	method	method	NOUN
fcis-30252	4	89	based	base	VERB
fcis-30252	4	90	on	on	ADP
fcis-30252	4	91	ceemdan	ceemdan	PROPN
fcis-30252	4	92	and	and	CCONJ
fcis-30252	4	93	messa	messa	NOUN
fcis-30252	4	94	-	-	PUNCT
fcis-30252	4	95	svm	svm	PROPN
fcis-30252	4	96	.	.	PROPN
fcis-30252	4	97	initially	initially	ADV
fcis-30252	4	98	,	,	PUNCT
fcis-30252	4	99	ceemdan	ceemdan	PROPN
fcis-30252	4	100	is	be	AUX
fcis-30252	4	101	employed	employ	VERB
fcis-30252	4	102	to	to	PART
fcis-30252	4	103	perform	perform	VERB
fcis-30252	4	104	multi	multi	ADJ
fcis-30252	4	105	-	-	NOUN
fcis-30252	4	106	scale	scale	NOUN
fcis-30252	4	107	initially	initially	ADV
fcis-30252	4	108	,	,	PUNCT
fcis-30252	4	109	ceemdan	ceemdan	PROPN
fcis-30252	4	110	is	be	AUX
fcis-30252	4	111	employed	employ	VERB
fcis-30252	4	112	to	to	PART
fcis-30252	4	113	perform	perform	VERB
fcis-30252	4	114	multi	multi	ADJ
fcis-30252	4	115	-	-	ADJ
fcis-30252	4	116	scale	scale	ADJ
fcis-30252	4	117	decomposition	decomposition	NOUN
fcis-30252	4	118	of	of	ADP
fcis-30252	4	119	fault	fault	NOUN
fcis-30252	4	120	acoustic	acoustic	ADJ
fcis-30252	4	121	emission	emission	NOUN
fcis-30252	4	122	signals	signal	NOUN
fcis-30252	4	123	,	,	PUNCT
fcis-30252	4	124	obtaining	obtain	VERB
fcis-30252	4	125	intrinsic	intrinsic	ADJ
fcis-30252	4	126	mode	mode	NOUN
fcis-30252	4	127	function	function	NOUN
fcis-30252	4	128	(	(	PUNCT
fcis-30252	4	129	imf	imf	PROPN
fcis-30252	4	130	)	)	PUNCT
fcis-30252	4	131	components	component	NOUN
fcis-30252	4	132	,	,	PUNCT
fcis-30252	4	133	followed	follow	VERB
fcis-30252	4	134	by	by	ADP
fcis-30252	4	135	selecting	select	VERB
fcis-30252	4	136	critical	critical	ADJ
fcis-30252	4	137	imf	imf	PROPN
fcis-30252	4	138	components	component	NOUN
fcis-30252	4	139	the	the	DET
fcis-30252	4	140	imf	imf	PROPN
fcis-30252	4	141	components	component	NOUN
fcis-30252	4	142	are	be	AUX
fcis-30252	4	143	selected	select	VERB
fcis-30252	4	144	through	through	ADP
fcis-30252	4	145	kurtosis	kurtosis	NOUN
fcis-30252	4	146	-	-	PUNCT
fcis-30252	4	147	correlation	correlation	NOUN
fcis-30252	4	148	feature	feature	NOUN
fcis-30252	4	149	screening	screening	NOUN
fcis-30252	4	150	.	.	PUNCT
fcis-30252	5	1	permutation	permutation	NOUN
fcis-30252	5	2	entropy	entropy	PROPN
fcis-30252	5	3	is	be	AUX
fcis-30252	5	4	then	then	ADV
fcis-30252	5	5	calculated	calculate	VERB
fcis-30252	5	6	to	to	PART
fcis-30252	5	7	construct	construct	VERB
fcis-30252	5	8	feature	feature	NOUN
fcis-30252	5	9	vectors	vector	NOUN
fcis-30252	5	10	.	.	PUNCT
fcis-30252	6	1	to	to	PART
fcis-30252	6	2	optimize	optimize	VERB
fcis-30252	6	3	svm	svm	ADJ
fcis-30252	6	4	classifier	classifier	NOUN
fcis-30252	6	5	parameters	parameter	NOUN
fcis-30252	6	6	,	,	PUNCT
fcis-30252	6	7	a	a	DET
fcis-30252	6	8	multi	multi	ADJ
fcis-30252	6	9	-	-	ADJ
fcis-30252	6	10	strategy	strategy	ADJ
fcis-30252	6	11	sparrow	sparrow	NOUN
fcis-30252	6	12	search	search	NOUN
fcis-30252	6	13	algorithm	algorithm	NOUN
fcis-30252	6	14	(	(	PUNCT
fcis-30252	6	15	messa	messa	NOUN
fcis-30252	6	16	)	)	PUNCT
fcis-30252	6	17	incorporating	incorporate	VERB
fcis-30252	6	18	euclidean	euclidean	ADJ
fcis-30252	6	19	distance	distance	NOUN
fcis-30252	6	20	population	population	NOUN
fcis-30252	6	21	diversity	diversity	NOUN
fcis-30252	6	22	,	,	PUNCT
fcis-30252	6	23	gaussian	gaussian	ADJ
fcis-30252	6	24	perturbation	perturbation	NOUN
fcis-30252	6	25	strategy	strategy	NOUN
fcis-30252	6	26	,	,	PUNCT
fcis-30252	6	27	and	and	CCONJ
fcis-30252	6	28	fitness	fitness	NOUN
fcis-30252	6	29	difference	difference	NOUN
fcis-30252	6	30	guidance	guidance	NOUN
fcis-30252	6	31	is	be	AUX
fcis-30252	6	32	designed	design	VERB
fcis-30252	6	33	.	.	PUNCT
fcis-30252	7	1	this	this	DET
fcis-30252	7	2	algorithm	algorithm	NOUN
fcis-30252	7	3	demonstrates	demonstrate	VERB
fcis-30252	7	4	excellent	excellent	ADJ
fcis-30252	7	5	global	global	ADJ
fcis-30252	7	6	optimization	optimization	NOUN
fcis-30252	7	7	capability	capability	NOUN
fcis-30252	7	8	in	in	ADP
fcis-30252	7	9	standard	standard	ADJ
fcis-30252	7	10	test	test	NOUN
fcis-30252	7	11	functions	function	NOUN
fcis-30252	7	12	.	.	PUNCT
fcis-30252	8	1	this	this	DET
fcis-30252	8	2	algorithm	algorithm	NOUN
fcis-30252	8	3	demonstrates	demonstrate	VERB
fcis-30252	8	4	excellent	excellent	ADJ
fcis-30252	8	5	global	global	ADJ
fcis-30252	8	6	optimization	optimization	NOUN
fcis-30252	8	7	capability	capability	NOUN
fcis-30252	8	8	in	in	ADP
fcis-30252	8	9	standard	standard	ADJ
fcis-30252	8	10	test	test	NOUN
fcis-30252	8	11	functions	function	NOUN
fcis-30252	8	12	.	.	PUNCT
fcis-30252	9	1	experimental	experimental	ADJ
fcis-30252	9	2	results	result	NOUN
fcis-30252	9	3	indicate	indicate	VERB
fcis-30252	9	4	that	that	SCONJ
fcis-30252	9	5	the	the	DET
fcis-30252	9	6	messa	messa	ADJ
fcis-30252	9	7	-	-	PUNCT
fcis-30252	9	8	svm	svm	ADJ
fcis-30252	9	9	classifier	classifier	NOUN
fcis-30252	9	10	achieves	achieve	VERB
fcis-30252	9	11	95	95	NUM
fcis-30252	9	12	%	%	NOUN
fcis-30252	9	13	accuracy	accuracy	NOUN
fcis-30252	9	14	.	.	PUNCT
fcis-30252	10	1	through	through	ADP
fcis-30252	10	2	comparative	comparative	ADJ
fcis-30252	10	3	analysis	analysis	NOUN
fcis-30252	10	4	with	with	ADP
fcis-30252	10	5	other	other	ADJ
fcis-30252	10	6	algorithms	algorithm	NOUN
fcis-30252	10	7	,	,	PUNCT
fcis-30252	10	8	the	the	DET
fcis-30252	10	9	advantages	advantage	NOUN
fcis-30252	10	10	of	of	ADP
fcis-30252	10	11	this	this	DET
fcis-30252	10	12	method	method	NOUN
fcis-30252	10	13	over	over	ADP
fcis-30252	10	14	alternatives	alternative	NOUN
fcis-30252	10	15	include	include	VERB
fcis-30252	10	16	the	the	DET
fcis-30252	10	17	advantages	advantage	NOUN
fcis-30252	10	18	of	of	ADP
fcis-30252	10	19	this	this	DET
fcis-30252	10	20	method	method	NOUN
fcis-30252	10	21	over	over	ADP
fcis-30252	10	22	alternatives	alternative	NOUN
fcis-30252	10	23	are	be	AUX
fcis-30252	10	24	validated	validate	VERB
fcis-30252	10	25	,	,	PUNCT
fcis-30252	10	26	demonstrating	demonstrate	VERB
fcis-30252	10	27	its	its	PRON
fcis-30252	10	28	effectiveness	effectiveness	NOUN
fcis-30252	10	29	and	and	CCONJ
fcis-30252	10	30	reliability	reliability	NOUN
fcis-30252	10	31	in	in	ADP
fcis-30252	10	32	bearing	bear	VERB
fcis-30252	10	33	fault	fault	NOUN
fcis-30252	10	34	acoustic	acoustic	ADJ
fcis-30252	10	35	emission	emission	NOUN
fcis-30252	10	36	signal	signal	NOUN
fcis-30252	10	37	diagnosis	diagnosis	NOUN
fcis-30252	10	38	.	.	PUNCT
fcis-30252	11	1	keywords	keyword	NOUN
fcis-30252	11	2	:	:	PUNCT
fcis-30252	11	3	bearing	bear	VERB
fcis-30252	11	4	fault	fault	NOUN
fcis-30252	11	5	diagnosis	diagnosis	NOUN
fcis-30252	11	6	;	;	PUNCT
fcis-30252	11	7	acoustic	acoustic	ADJ
fcis-30252	11	8	emission	emission	NOUN
fcis-30252	11	9	;	;	PUNCT
fcis-30252	11	10	ceemdan	ceemdan	PROPN
fcis-30252	11	11	;	;	PUNCT
fcis-30252	11	12	permutation	permutation	NOUN
fcis-30252	11	13	entropy	entropy	NOUN
fcis-30252	11	14	;	;	PUNCT
fcis-30252	11	15	sparrow	sparrow	ADJ
fcis-30252	11	16	search	search	NOUN
fcis-30252	11	17	algorithm	algorithm	NOUN
fcis-30252	11	18	;	;	PUNCT
fcis-30252	11	19	support	support	NOUN
fcis-30252	11	20	vector	vector	NOUN
fcis-30252	11	21	machin	machin	NOUN
fcis-30252	11	22	.	.	PROPN
fcis-30252	11	23	1	1	NUM
fcis-30252	11	24	.	.	X
fcis-30252	12	1	introduction	introduction	NOUN
fcis-30252	12	2	as	as	ADP
fcis-30252	12	3	an	an	DET
fcis-30252	12	4	important	important	ADJ
fcis-30252	12	5	rotating	rotate	VERB
fcis-30252	12	6	component	component	NOUN
fcis-30252	12	7	in	in	ADP
fcis-30252	12	8	mechanical	mechanical	ADJ
fcis-30252	12	9	equipment	equipment	NOUN
fcis-30252	12	10	,	,	PUNCT
fcis-30252	12	11	rolling	rolling	ADJ
fcis-30252	12	12	bearings	bearing	NOUN
fcis-30252	12	13	have	have	VERB
fcis-30252	12	14	a	a	DET
fcis-30252	12	15	direct	direct	ADJ
fcis-30252	12	16	impact	impact	NOUN
fcis-30252	12	17	on	on	ADP
fcis-30252	12	18	the	the	DET
fcis-30252	12	19	performance	performance	NOUN
fcis-30252	12	20	and	and	CCONJ
fcis-30252	12	21	service	service	NOUN
fcis-30252	12	22	life	life	NOUN
fcis-30252	12	23	of	of	ADP
fcis-30252	12	24	the	the	DET
fcis-30252	12	25	equipment	equipment	NOUN
fcis-30252	12	26	.	.	PUNCT
fcis-30252	13	1	however	however	ADV
fcis-30252	13	2	,	,	PUNCT
fcis-30252	13	3	due	due	ADP
fcis-30252	13	4	to	to	ADP
fcis-30252	13	5	the	the	DET
fcis-30252	13	6	complex	complex	ADJ
fcis-30252	13	7	long	long	ADJ
fcis-30252	13	8	-	-	PUNCT
fcis-30252	13	9	term	term	NOUN
fcis-30252	13	10	working	working	NOUN
fcis-30252	13	11	environment	environment	NOUN
fcis-30252	13	12	,	,	PUNCT
fcis-30252	13	13	bearings	bearing	NOUN
fcis-30252	13	14	are	be	AUX
fcis-30252	13	15	prone	prone	ADJ
fcis-30252	13	16	to	to	PART
fcis-30252	13	17	wear	wear	VERB
fcis-30252	13	18	,	,	PUNCT
fcis-30252	13	19	fatigue	fatigue	NOUN
fcis-30252	13	20	,	,	PUNCT
fcis-30252	13	21	cracks	crack	NOUN
fcis-30252	13	22	and	and	CCONJ
fcis-30252	13	23	other	other	ADJ
fcis-30252	13	24	faults	fault	NOUN
fcis-30252	13	25	,	,	PUNCT
fcis-30252	13	26	which	which	PRON
fcis-30252	13	27	may	may	AUX
fcis-30252	13	28	lead	lead	VERB
fcis-30252	13	29	to	to	ADP
fcis-30252	13	30	equipment	equipment	NOUN
fcis-30252	13	31	downtime	downtime	NOUN
fcis-30252	13	32	or	or	CCONJ
fcis-30252	13	33	even	even	ADV
fcis-30252	13	34	major	major	ADJ
fcis-30252	13	35	safety	safety	NOUN
fcis-30252	13	36	accidents	accident	NOUN
fcis-30252	13	37	.	.	PUNCT
fcis-30252	14	1	therefore	therefore	ADV
fcis-30252	14	2	,	,	PUNCT
fcis-30252	14	3	the	the	DET
fcis-30252	14	4	real	real	ADJ
fcis-30252	14	5	-	-	PUNCT
fcis-30252	14	6	time	time	NOUN
fcis-30252	14	7	monitoring	monitoring	NOUN
fcis-30252	14	8	and	and	CCONJ
fcis-30252	14	9	fault	fault	VERB
fcis-30252	14	10	diagnosis	diagnosis	NOUN
fcis-30252	14	11	of	of	ADP
fcis-30252	14	12	rolling	rolling	ADJ
fcis-30252	14	13	bearing	bearing	NOUN
fcis-30252	14	14	operation	operation	NOUN
fcis-30252	14	15	state	state	NOUN
fcis-30252	14	16	has	have	VERB
fcis-30252	14	17	important	important	ADJ
fcis-30252	14	18	theoretical	theoretical	ADJ
fcis-30252	14	19	significance	significance	NOUN
fcis-30252	14	20	and	and	CCONJ
fcis-30252	14	21	engineering	engineering	NOUN
fcis-30252	14	22	application	application	NOUN
fcis-30252	14	23	value[1	value[1	NOUN
fcis-30252	14	24	]	]	PUNCT
fcis-30252	14	25	.	.	PUNCT
fcis-30252	15	1	acoustic	acoustic	ADJ
fcis-30252	15	2	emission	emission	NOUN
fcis-30252	15	3	(	(	PUNCT
fcis-30252	15	4	ae	ae	PROPN
fcis-30252	15	5	)	)	PUNCT
fcis-30252	15	6	,	,	PUNCT
fcis-30252	15	7	as	as	ADP
fcis-30252	15	8	a	a	DET
fcis-30252	15	9	highly	highly	ADV
fcis-30252	15	10	sensitive	sensitive	ADJ
fcis-30252	15	11	nondestructive	nondestructive	ADJ
fcis-30252	15	12	testing	testing	NOUN
fcis-30252	15	13	method	method	NOUN
fcis-30252	15	14	,	,	PUNCT
fcis-30252	15	15	can	can	AUX
fcis-30252	15	16	capture	capture	VERB
fcis-30252	15	17	high	high	ADJ
fcis-30252	15	18	-	-	PUNCT
fcis-30252	15	19	frequency	frequency	NOUN
fcis-30252	15	20	elastic	elastic	ADJ
fcis-30252	15	21	wave	wave	NOUN
fcis-30252	15	22	signals	signal	NOUN
fcis-30252	15	23	at	at	ADP
fcis-30252	15	24	the	the	DET
fcis-30252	15	25	early	early	ADJ
fcis-30252	15	26	stage	stage	NOUN
fcis-30252	15	27	of	of	ADP
fcis-30252	15	28	microcrack	microcrack	NOUN
fcis-30252	15	29	formation	formation	NOUN
fcis-30252	15	30	or	or	CCONJ
fcis-30252	15	31	expansion	expansion	NOUN
fcis-30252	15	32	within	within	ADP
fcis-30252	15	33	the	the	DET
fcis-30252	15	34	material	material	NOUN
fcis-30252	15	35	,	,	PUNCT
fcis-30252	15	36	providing	provide	VERB
fcis-30252	15	37	an	an	DET
fcis-30252	15	38	important	important	ADJ
fcis-30252	15	39	means	mean	NOUN
fcis-30252	15	40	for	for	ADP
fcis-30252	15	41	early	early	ADJ
fcis-30252	15	42	detection	detection	NOUN
fcis-30252	15	43	of	of	ADP
fcis-30252	15	44	bearing	bear	VERB
fcis-30252	15	45	failures	failure	NOUN
fcis-30252	15	46	.	.	PUNCT
fcis-30252	16	1	compared	compare	VERB
fcis-30252	16	2	with	with	ADP
fcis-30252	16	3	vibration	vibration	NOUN
fcis-30252	16	4	signals	signal	NOUN
fcis-30252	16	5	,	,	PUNCT
fcis-30252	16	6	acoustic	acoustic	ADJ
fcis-30252	16	7	emission	emission	NOUN
fcis-30252	16	8	signals	signal	NOUN
fcis-30252	16	9	are	be	AUX
fcis-30252	16	10	characterized	characterize	VERB
fcis-30252	16	11	by	by	ADP
fcis-30252	16	12	high	high	ADJ
fcis-30252	16	13	frequency	frequency	NOUN
fcis-30252	16	14	range	range	NOUN
fcis-30252	16	15	and	and	CCONJ
fcis-30252	16	16	rapid	rapid	ADJ
fcis-30252	16	17	response	response	NOUN
fcis-30252	16	18	,	,	PUNCT
fcis-30252	16	19	which	which	PRON
fcis-30252	16	20	can	can	AUX
fcis-30252	16	21	reflect	reflect	VERB
fcis-30252	16	22	the	the	DET
fcis-30252	16	23	health	health	NOUN
fcis-30252	16	24	status	status	NOUN
fcis-30252	16	25	of	of	ADP
fcis-30252	16	26	bearings	bearing	NOUN
fcis-30252	16	27	earlier	early	ADV
fcis-30252	16	28	and	and	CCONJ
fcis-30252	16	29	more	more	ADV
fcis-30252	16	30	accurately	accurately	ADV
fcis-30252	16	31	.	.	PUNCT
fcis-30252	17	1	however	however	ADV
fcis-30252	17	2	,	,	PUNCT
fcis-30252	17	3	due	due	ADP
fcis-30252	17	4	to	to	ADP
fcis-30252	17	5	the	the	DET
fcis-30252	17	6	complexity	complexity	NOUN
fcis-30252	17	7	of	of	ADP
fcis-30252	17	8	the	the	DET
fcis-30252	17	9	acoustic	acoustic	ADJ
fcis-30252	17	10	emission	emission	NOUN
fcis-30252	17	11	signal	signal	NOUN
fcis-30252	17	12	and	and	CCONJ
fcis-30252	17	13	its	its	PRON
fcis-30252	17	14	susceptibility	susceptibility	NOUN
fcis-30252	17	15	to	to	ADP
fcis-30252	17	16	environmental	environmental	ADJ
fcis-30252	17	17	noise	noise	NOUN
fcis-30252	17	18	interference	interference	NOUN
fcis-30252	17	19	,	,	PUNCT
fcis-30252	17	20	how	how	SCONJ
fcis-30252	17	21	to	to	PART
fcis-30252	17	22	extract	extract	VERB
fcis-30252	17	23	effective	effective	ADJ
fcis-30252	17	24	features	feature	NOUN
fcis-30252	17	25	and	and	CCONJ
fcis-30252	17	26	accurately	accurately	ADV
fcis-30252	17	27	classify	classify	VERB
fcis-30252	17	28	fault	fault	NOUN
fcis-30252	17	29	types	type	NOUN
fcis-30252	17	30	is	be	AUX
fcis-30252	17	31	still	still	ADV
fcis-30252	17	32	a	a	DET
fcis-30252	17	33	difficult	difficult	ADJ
fcis-30252	17	34	and	and	CCONJ
fcis-30252	17	35	hot	hot	ADJ
fcis-30252	17	36	spot	spot	NOUN
fcis-30252	17	37	in	in	ADP
fcis-30252	17	38	current	current	ADJ
fcis-30252	17	39	research	research	NOUN
fcis-30252	17	40	.	.	PUNCT
fcis-30252	18	1	in	in	ADP
fcis-30252	18	2	recent	recent	ADJ
fcis-30252	18	3	years	year	NOUN
fcis-30252	18	4	,	,	PUNCT
fcis-30252	18	5	bearing	bear	VERB
fcis-30252	18	6	fault	fault	NOUN
fcis-30252	18	7	diagnosis	diagnosis	NOUN
fcis-30252	18	8	methods	method	NOUN
fcis-30252	18	9	combining	combine	VERB
fcis-30252	18	10	advanced	advanced	ADJ
fcis-30252	18	11	signal	signal	NOUN
fcis-30252	18	12	processing	processing	NOUN
fcis-30252	18	13	techniques	technique	NOUN
fcis-30252	18	14	and	and	CCONJ
fcis-30252	18	15	machine	machine	NOUN
fcis-30252	18	16	learning	learning	NOUN
fcis-30252	18	17	algorithms	algorithm	NOUN
fcis-30252	18	18	have	have	AUX
fcis-30252	18	19	gradually	gradually	ADV
fcis-30252	18	20	received	receive	VERB
fcis-30252	18	21	widespread	widespread	ADJ
fcis-30252	18	22	attention[2	attention[2	NOUN
fcis-30252	18	23	]	]	PUNCT
fcis-30252	18	24	.	.	PUNCT
fcis-30252	19	1	techniques	technique	NOUN
fcis-30252	19	2	such	such	ADJ
fcis-30252	19	3	as	as	ADP
fcis-30252	19	4	time	time	NOUN
fcis-30252	19	5	-	-	PUNCT
fcis-30252	19	6	frequency	frequency	NOUN
fcis-30252	19	7	analysis	analysis	NOUN
fcis-30252	19	8	,	,	PUNCT
fcis-30252	19	9	wavelet	wavelet	NOUN
fcis-30252	19	10	transform	transform	NOUN
fcis-30252	19	11	,	,	PUNCT
fcis-30252	19	12	and	and	CCONJ
fcis-30252	19	13	empirical	empirical	ADJ
fcis-30252	19	14	modal	modal	ADJ
fcis-30252	19	15	decomposition	decomposition	NOUN
fcis-30252	19	16	(	(	PUNCT
fcis-30252	19	17	emd	emd	X
fcis-30252	19	18	)	)	PUNCT
fcis-30252	19	19	are	be	AUX
fcis-30252	19	20	able	able	ADJ
fcis-30252	19	21	to	to	PART
fcis-30252	19	22	extract	extract	VERB
fcis-30252	19	23	rich	rich	ADJ
fcis-30252	19	24	time	time	NOUN
fcis-30252	19	25	-	-	PUNCT
fcis-30252	19	26	frequency	frequency	NOUN
fcis-30252	19	27	features	feature	NOUN
fcis-30252	19	28	from	from	ADP
fcis-30252	19	29	acoustic	acoustic	ADJ
fcis-30252	19	30	emission	emission	NOUN
fcis-30252	19	31	signals[3	signals[3	PROPN
fcis-30252	19	32	]	]	PUNCT
fcis-30252	19	33	;	;	PUNCT
fcis-30252	19	34	at	at	ADP
fcis-30252	19	35	the	the	DET
fcis-30252	19	36	same	same	ADJ
fcis-30252	19	37	time	time	NOUN
fcis-30252	19	38	,	,	PUNCT
fcis-30252	19	39	the	the	DET
fcis-30252	19	40	introduction	introduction	NOUN
fcis-30252	19	41	of	of	ADP
fcis-30252	19	42	algorithms	algorithm	NOUN
fcis-30252	19	43	such	such	ADJ
fcis-30252	19	44	as	as	ADP
fcis-30252	19	45	support	support	NOUN
fcis-30252	19	46	vector	vector	NOUN
fcis-30252	19	47	machines	machine	NOUN
fcis-30252	19	48	(	(	PUNCT
fcis-30252	19	49	svms	svms	NOUN
fcis-30252	19	50	)	)	PUNCT
fcis-30252	19	51	and	and	CCONJ
fcis-30252	19	52	deep	deep	ADJ
fcis-30252	19	53	learning	learning	NOUN
fcis-30252	19	54	provides	provide	VERB
fcis-30252	19	55	stronger	strong	ADJ
fcis-30252	19	56	model	model	NOUN
fcis-30252	19	57	expression	expression	NOUN
fcis-30252	19	58	capabilities	capability	NOUN
fcis-30252	19	59	for	for	ADP
fcis-30252	19	60	classification	classification	NOUN
fcis-30252	19	61	and	and	CCONJ
fcis-30252	19	62	identification	identification	NOUN
fcis-30252	19	63	of	of	ADP
fcis-30252	19	64	fault	fault	NOUN
fcis-30252	19	65	patterns[4	patterns[4	PRON
fcis-30252	19	66	]	]	PUNCT
fcis-30252	19	67	.	.	PUNCT
fcis-30252	20	1	however	however	ADV
fcis-30252	20	2	,	,	PUNCT
fcis-30252	20	3	these	these	DET
fcis-30252	20	4	methods	method	NOUN
fcis-30252	20	5	still	still	ADV
fcis-30252	20	6	face	face	VERB
fcis-30252	20	7	problems	problem	NOUN
fcis-30252	20	8	such	such	ADJ
fcis-30252	20	9	as	as	ADP
fcis-30252	20	10	high	high	ADJ
fcis-30252	20	11	computational	computational	ADJ
fcis-30252	20	12	complexity	complexity	NOUN
fcis-30252	20	13	and	and	CCONJ
fcis-30252	20	14	insufficient	insufficient	ADJ
fcis-30252	20	15	model	model	NOUN
fcis-30252	20	16	robustness	robustness	NOUN
fcis-30252	20	17	in	in	ADP
fcis-30252	20	18	practical	practical	ADJ
fcis-30252	20	19	applications	application	NOUN
fcis-30252	20	20	.	.	PUNCT
fcis-30252	21	1	adaptive	adaptive	ADJ
fcis-30252	21	2	white	white	ADJ
fcis-30252	21	3	noise	noise	PROPN
fcis-30252	21	4	complete	complete	ADJ
fcis-30252	21	5	empirical	empirical	ADJ
fcis-30252	21	6	mode	mode	NOUN
fcis-30252	21	7	decomposition	decomposition	NOUN
fcis-30252	21	8	(	(	PUNCT
fcis-30252	21	9	ceemdan	ceemdan	PROPN
fcis-30252	21	10	)	)	PUNCT
fcis-30252	21	11	is	be	AUX
fcis-30252	21	12	an	an	DET
fcis-30252	21	13	improved	improved	ADJ
fcis-30252	21	14	signal	signal	NOUN
fcis-30252	21	15	processing	processing	NOUN
fcis-30252	21	16	method	method	NOUN
fcis-30252	21	17	proposed	propose	VERB
fcis-30252	21	18	by	by	ADP
fcis-30252	21	19	scholars	scholar	NOUN
fcis-30252	21	20	maria	maria	PROPN
fcis-30252	21	21	alejandra	alejandra	PROPN
fcis-30252	21	22	torres	torre	VERB
fcis-30252	21	23	et	et	PROPN
fcis-30252	21	24	al	al	PROPN
fcis-30252	21	25	.	.	PROPN
fcis-30252	22	1	based	base	VERB
fcis-30252	22	2	on	on	ADP
fcis-30252	22	3	the	the	DET
fcis-30252	22	4	traditional	traditional	ADJ
fcis-30252	22	5	ensemble	ensemble	ADJ
fcis-30252	22	6	empirical	empirical	ADJ
fcis-30252	22	7	mode	mode	NOUN
fcis-30252	22	8	decomposition	decomposition	NOUN
fcis-30252	22	9	(	(	PUNCT
fcis-30252	22	10	eemd	eemd	NOUN
fcis-30252	22	11	)	)	PUNCT
fcis-30252	22	12	algorithm[5	algorithm[5	NOUN
fcis-30252	22	13	]	]	PUNCT
fcis-30252	22	14	.	.	PUNCT
fcis-30252	23	1	ceemdan	ceemdan	PROPN
fcis-30252	23	2	effectively	effectively	ADV
fcis-30252	23	3	solves	solve	VERB
fcis-30252	23	4	several	several	ADJ
fcis-30252	23	5	problems	problem	NOUN
fcis-30252	23	6	in	in	ADP
fcis-30252	23	7	traditional	traditional	ADJ
fcis-30252	23	8	eemd	eemd	NOUN
fcis-30252	23	9	,	,	PUNCT
fcis-30252	23	10	such	such	ADJ
fcis-30252	23	11	as	as	ADP
fcis-30252	23	12	mode	mode	NOUN
fcis-30252	23	13	aliasing	aliasing	NOUN
fcis-30252	23	14	,	,	PUNCT
fcis-30252	23	15	incompleteness	incompleteness	NOUN
fcis-30252	23	16	of	of	ADP
fcis-30252	23	17	decomposition	decomposition	NOUN
fcis-30252	23	18	,	,	PUNCT
fcis-30252	23	19	and	and	CCONJ
fcis-30252	23	20	large	large	ADJ
fcis-30252	23	21	signal	signal	NOUN
fcis-30252	23	22	reconstruction	reconstruction	NOUN
fcis-30252	23	23	error	error	NOUN
fcis-30252	23	24	,	,	PUNCT
fcis-30252	23	25	by	by	ADP
fcis-30252	23	26	adaptively	adaptively	ADV
fcis-30252	23	27	adjusting	adjust	VERB
fcis-30252	23	28	the	the	DET
fcis-30252	23	29	noise	noise	NOUN
fcis-30252	23	30	component	component	NOUN
fcis-30252	23	31	and	and	CCONJ
fcis-30252	23	32	reconstructing	reconstruct	VERB
fcis-30252	23	33	the	the	DET
fcis-30252	23	34	signal	signal	NOUN
fcis-30252	23	35	during	during	ADP
fcis-30252	23	36	the	the	DET
fcis-30252	23	37	introduction	introduction	NOUN
fcis-30252	23	38	of	of	ADP
fcis-30252	23	39	white	white	ADJ
fcis-30252	23	40	noise	noise	NOUN
fcis-30252	23	41	.	.	PUNCT
fcis-30252	24	1	rolling	roll	VERB
fcis-30252	24	2	bearing	bear	VERB
fcis-30252	24	3	fault	fault	NOUN
fcis-30252	24	4	diagnosis	diagnosis	NOUN
fcis-30252	24	5	essentially	essentially	ADV
fcis-30252	24	6	belongs	belong	VERB
fcis-30252	24	7	to	to	ADP
fcis-30252	24	8	the	the	DET
fcis-30252	24	9	category	category	NOUN
fcis-30252	24	10	of	of	ADP
fcis-30252	24	11	pattern	pattern	NOUN
fcis-30252	24	12	recognition	recognition	NOUN
fcis-30252	24	13	,	,	PUNCT
fcis-30252	24	14	in	in	ADP
fcis-30252	24	15	which	which	PRON
fcis-30252	24	16	support	support	NOUN
fcis-30252	24	17	vector	vector	NOUN
fcis-30252	24	18	machine	machine	NOUN
fcis-30252	24	19	(	(	PUNCT
fcis-30252	24	20	svm	svm	PROPN
fcis-30252	24	21	)	)	PUNCT
fcis-30252	24	22	is	be	AUX
fcis-30252	24	23	widely	widely	ADV
fcis-30252	24	24	used	use	VERB
fcis-30252	24	25	as	as	ADP
fcis-30252	24	26	a	a	DET
fcis-30252	24	27	classification	classification	NOUN
fcis-30252	24	28	technique	technique	NOUN
fcis-30252	24	29	[	[	X
fcis-30252	24	30	6	6	NUM
fcis-30252	24	31	]	]	PUNCT
fcis-30252	24	32	.	.	PUNCT
fcis-30252	25	1	in	in	ADP
fcis-30252	25	2	order	order	NOUN
fcis-30252	25	3	to	to	PART
fcis-30252	25	4	improve	improve	VERB
fcis-30252	25	5	the	the	DET
fcis-30252	25	6	performance	performance	NOUN
fcis-30252	25	7	of	of	ADP
fcis-30252	25	8	the	the	DET
fcis-30252	25	9	classification	classification	NOUN
fcis-30252	25	10	model	model	NOUN
fcis-30252	25	11	,	,	PUNCT
fcis-30252	25	12	it	it	PRON
fcis-30252	25	13	is	be	AUX
fcis-30252	25	14	usually	usually	ADV
fcis-30252	25	15	necessary	necessary	ADJ
fcis-30252	25	16	to	to	PART
fcis-30252	25	17	tune	tune	VERB
fcis-30252	25	18	the	the	DET
fcis-30252	25	19	parameters	parameter	NOUN
fcis-30252	25	20	with	with	ADP
fcis-30252	25	21	the	the	DET
fcis-30252	25	22	help	help	NOUN
fcis-30252	25	23	of	of	ADP
fcis-30252	25	24	optimization	optimization	NOUN
fcis-30252	25	25	algorithms	algorithm	NOUN
fcis-30252	25	26	to	to	PART
fcis-30252	25	27	obtain	obtain	VERB
fcis-30252	25	28	the	the	DET
fcis-30252	25	29	best	good	ADJ
fcis-30252	25	30	parameter	parameter	NOUN
fcis-30252	25	31	configuration	configuration	NOUN
fcis-30252	25	32	.	.	PUNCT
fcis-30252	26	1	the	the	DET
fcis-30252	26	2	support	support	NOUN
fcis-30252	26	3	vector	vector	NOUN
fcis-30252	26	4	machine	machine	NOUN
fcis-30252	26	5	(	(	PUNCT
fcis-30252	26	6	ssa	ssa	NOUN
fcis-30252	26	7	-	-	PUNCT
fcis-30252	26	8	svm	svm	NOUN
fcis-30252	26	9	)	)	PUNCT
fcis-30252	26	10	classifier	classifier	NOUN
fcis-30252	26	11	optimized	optimize	VERB
fcis-30252	26	12	with	with	ADP
fcis-30252	26	13	the	the	DET
fcis-30252	26	14	improved	improved	ADJ
fcis-30252	26	15	sparrow	sparrow	NOUN
fcis-30252	26	16	search	search	NOUN
fcis-30252	26	17	algorithm	algorithm	NOUN
fcis-30252	26	18	(	(	PUNCT
fcis-30252	26	19	issa	issa	ADJ
fcis-30252	26	20	)	)	PUNCT
fcis-30252	26	21	is	be	AUX
fcis-30252	26	22	able	able	ADJ
fcis-30252	26	23	to	to	PART
fcis-30252	26	24	effectively	effectively	ADV
fcis-30252	26	25	search	search	VERB
fcis-30252	26	26	for	for	ADP
fcis-30252	26	27	the	the	DET
fcis-30252	26	28	global	global	ADJ
fcis-30252	26	29	optimal	optimal	ADJ
fcis-30252	26	30	solution	solution	NOUN
fcis-30252	26	31	[	[	X
fcis-30252	26	32	7	7	X
fcis-30252	26	33	]	]	PUNCT
fcis-30252	26	34	with	with	ADP
fcis-30252	26	35	high	high	ADJ
fcis-30252	26	36	classification	classification	NOUN
fcis-30252	26	37	accuracy	accuracy	NOUN
fcis-30252	26	38	and	and	CCONJ
fcis-30252	26	39	good	good	ADJ
fcis-30252	26	40	recognition	recognition	NOUN
fcis-30252	26	41	ability	ability	NOUN
fcis-30252	26	42	.	.	PUNCT
fcis-30252	27	1	the	the	DET
fcis-30252	27	2	sparrow	sparrow	ADJ
fcis-30252	27	3	search	search	NOUN
fcis-30252	27	4	algorithm	algorithm	NOUN
fcis-30252	27	5	performs	perform	VERB
fcis-30252	27	6	global	global	ADJ
fcis-30252	27	7	optimal	optimal	ADJ
fcis-30252	27	8	search	search	NOUN
fcis-30252	27	9	by	by	ADP
fcis-30252	27	10	simulating	simulate	VERB
fcis-30252	27	11	the	the	DET
fcis-30252	27	12	sparrow	sparrow	NOUN
fcis-30252	27	13	's	's	PART
fcis-30252	27	14	foraging	forage	VERB
fcis-30252	27	15	behavior	behavior	NOUN
fcis-30252	27	16	and	and	CCONJ
fcis-30252	27	17	danger	danger	NOUN
fcis-30252	27	18	perception	perception	NOUN
fcis-30252	27	19	mechanism	mechanism	NOUN
fcis-30252	27	20	.	.	PUNCT
fcis-30252	28	1	however	however	ADV
fcis-30252	28	2	,	,	PUNCT
fcis-30252	28	3	the	the	DET
fcis-30252	28	4	traditional	traditional	ADJ
fcis-30252	28	5	ssa	ssa	NOUN
fcis-30252	28	6	suffers	suffer	VERB
fcis-30252	28	7	from	from	ADP
fcis-30252	28	8	the	the	DET
fcis-30252	28	9	problem	problem	NOUN
fcis-30252	28	10	of	of	ADP
fcis-30252	28	11	easily	easily	ADV
fcis-30252	28	12	falling	fall	VERB
fcis-30252	28	13	into	into	ADP
fcis-30252	28	14	local	local	ADJ
fcis-30252	28	15	optimality	optimality	NOUN
fcis-30252	28	16	.	.	PUNCT
fcis-30252	29	1	this	this	DET
fcis-30252	29	2	paper	paper	NOUN
fcis-30252	29	3	takes	take	VERB
fcis-30252	29	4	the	the	DET
fcis-30252	29	5	faulty	faulty	ADJ
fcis-30252	29	6	bearing	bear	VERB
fcis-30252	29	7	acoustic	acoustic	ADJ
fcis-30252	29	8	emission	emission	NOUN
fcis-30252	29	9	signal	signal	NOUN
fcis-30252	29	10	as	as	ADP
fcis-30252	29	11	the	the	DET
fcis-30252	29	12	research	research	NOUN
fcis-30252	29	13	object	object	NOUN
fcis-30252	29	14	,	,	PUNCT
fcis-30252	29	15	and	and	CCONJ
fcis-30252	29	16	centers	center	NOUN
fcis-30252	29	17	on	on	ADP
fcis-30252	29	18	the	the	DET
fcis-30252	29	19	rolling	rolling	ADJ
fcis-30252	29	20	bearing	bearing	NOUN
fcis-30252	29	21	fault	fault	NOUN
fcis-30252	29	22	detection	detection	NOUN
fcis-30252	29	23	and	and	CCONJ
fcis-30252	29	24	diagnosis	diagnosis	NOUN
fcis-30252	29	25	problem	problem	NOUN
fcis-30252	29	26	,	,	PUNCT
fcis-30252	29	27	and	and	CCONJ
fcis-30252	29	28	proposes	propose	VERB
fcis-30252	29	29	a	a	DET
fcis-30252	29	30	rolling	rolling	ADJ
fcis-30252	29	31	bearing	bear	VERB
fcis-30252	29	32	acoustic	acoustic	ADJ
fcis-30252	29	33	emission	emission	NOUN
fcis-30252	29	34	fault	fault	NOUN
fcis-30252	29	35	diagnosis	diagnosis	NOUN
fcis-30252	29	36	method	method	NOUN
fcis-30252	29	37	based	base	VERB
fcis-30252	29	38	on	on	ADP
fcis-30252	29	39	the	the	DET
fcis-30252	29	40	140	140	NUM
fcis-30252	29	41	ceemdan	ceemdan	ADJ
fcis-30252	29	42	decomposition	decomposition	NOUN
fcis-30252	29	43	algorithm	algorithm	NOUN
fcis-30252	29	44	,	,	PUNCT
fcis-30252	29	45	feature	feature	NOUN
fcis-30252	29	46	extraction	extraction	NOUN
fcis-30252	29	47	algorithm	algorithm	NOUN
fcis-30252	29	48	,	,	PUNCT
fcis-30252	29	49	and	and	CCONJ
fcis-30252	29	50	the	the	DET
fcis-30252	29	51	improved	improved	ADJ
fcis-30252	29	52	messa	messa	ADJ
fcis-30252	29	53	-	-	PUNCT
fcis-30252	29	54	svm	svm	ADJ
fcis-30252	29	55	classifier	classifier	PROPN
fcis-30252	29	56	model	model	NOUN
fcis-30252	29	57	.	.	PUNCT
fcis-30252	30	1	first	first	ADV
fcis-30252	30	2	,	,	PUNCT
fcis-30252	30	3	the	the	DET
fcis-30252	30	4	collected	collect	VERB
fcis-30252	30	5	acoustic	acoustic	ADJ
fcis-30252	30	6	emission	emission	NOUN
fcis-30252	30	7	signals	signal	NOUN
fcis-30252	30	8	are	be	AUX
fcis-30252	30	9	decomposed	decompose	VERB
fcis-30252	30	10	using	use	VERB
fcis-30252	30	11	the	the	DET
fcis-30252	30	12	ceemdan	ceemdan	ADJ
fcis-30252	30	13	algorithm	algorithm	NOUN
fcis-30252	30	14	to	to	PART
fcis-30252	30	15	obtain	obtain	VERB
fcis-30252	30	16	a	a	DET
fcis-30252	30	17	series	series	NOUN
fcis-30252	30	18	of	of	ADP
fcis-30252	30	19	intrinsic	intrinsic	ADJ
fcis-30252	30	20	modal	modal	ADJ
fcis-30252	30	21	functions	function	NOUN
fcis-30252	30	22	(	(	PUNCT
fcis-30252	30	23	imfs	imfs	NOUN
fcis-30252	30	24	)	)	PUNCT
fcis-30252	30	25	;	;	PUNCT
fcis-30252	30	26	subsequently	subsequently	ADV
fcis-30252	30	27	,	,	PUNCT
fcis-30252	30	28	the	the	DET
fcis-30252	30	29	key	key	ADJ
fcis-30252	30	30	imf	imf	PROPN
fcis-30252	30	31	components	component	NOUN
fcis-30252	30	32	are	be	AUX
fcis-30252	30	33	screened	screen	VERB
fcis-30252	30	34	out	out	ADP
fcis-30252	30	35	according	accord	VERB
fcis-30252	30	36	to	to	ADP
fcis-30252	30	37	the	the	DET
fcis-30252	30	38	magnitude	magnitude	NOUN
fcis-30252	30	39	of	of	ADP
fcis-30252	30	40	the	the	DET
fcis-30252	30	41	crag	crag	NOUN
fcis-30252	30	42	.	.	PUNCT
fcis-30252	31	1	then	then	ADV
fcis-30252	31	2	,	,	PUNCT
fcis-30252	31	3	the	the	DET
fcis-30252	31	4	time	time	NOUN
fcis-30252	31	5	-	-	PUNCT
fcis-30252	31	6	domain	domain	NOUN
fcis-30252	31	7	alignment	alignment	NOUN
fcis-30252	31	8	entropy	entropy	NOUN
fcis-30252	31	9	features[7	features[7	PRON
fcis-30252	31	10	]	]	PUNCT
fcis-30252	31	11	are	be	AUX
fcis-30252	31	12	extracted	extract	VERB
fcis-30252	31	13	from	from	ADP
fcis-30252	31	14	these	these	DET
fcis-30252	31	15	imf	imf	PROPN
fcis-30252	31	16	components	component	NOUN
fcis-30252	31	17	to	to	PART
fcis-30252	31	18	construct	construct	VERB
fcis-30252	31	19	the	the	DET
fcis-30252	31	20	feature	feature	NOUN
fcis-30252	31	21	vector	vector	NOUN
fcis-30252	31	22	set	set	NOUN
fcis-30252	31	23	.	.	PUNCT
fcis-30252	32	1	finally	finally	ADV
fcis-30252	32	2	,	,	PUNCT
fcis-30252	32	3	the	the	DET
fcis-30252	32	4	feature	feature	NOUN
fcis-30252	32	5	vector	vector	NOUN
fcis-30252	32	6	collections	collection	NOUN
fcis-30252	32	7	under	under	ADP
fcis-30252	32	8	different	different	ADJ
fcis-30252	32	9	fault	fault	NOUN
fcis-30252	32	10	states	state	NOUN
fcis-30252	32	11	are	be	AUX
fcis-30252	32	12	inputted	inputte	VERB
fcis-30252	32	13	into	into	ADP
fcis-30252	32	14	the	the	DET
fcis-30252	32	15	improved	improve	VERB
fcis-30252	32	16	messasvm	messasvm	NOUN
fcis-30252	32	17	model	model	NOUN
fcis-30252	32	18	for	for	ADP
fcis-30252	32	19	training	training	NOUN
fcis-30252	32	20	and	and	CCONJ
fcis-30252	32	21	classification	classification	NOUN
fcis-30252	32	22	to	to	PART
fcis-30252	32	23	realize	realize	VERB
fcis-30252	32	24	intelligent	intelligent	ADJ
fcis-30252	32	25	fault	fault	NOUN
fcis-30252	32	26	diagnosis	diagnosis	NOUN
fcis-30252	32	27	of	of	ADP
fcis-30252	32	28	rolling	rolling	ADJ
fcis-30252	32	29	bearing	bear	VERB
fcis-30252	32	30	fault	fault	NOUN
fcis-30252	32	31	acoustic	acoustic	ADJ
fcis-30252	32	32	emission	emission	NOUN
fcis-30252	32	33	signals[8	signals[8	PROPN
fcis-30252	32	34	]	]	PUNCT
fcis-30252	32	35	.	.	PUNCT
fcis-30252	33	1	through	through	ADP
fcis-30252	33	2	experimental	experimental	ADJ
fcis-30252	33	3	verification	verification	NOUN
fcis-30252	33	4	,	,	PUNCT
fcis-30252	33	5	the	the	DET
fcis-30252	33	6	method	method	NOUN
fcis-30252	33	7	proposed	propose	VERB
fcis-30252	33	8	in	in	ADP
fcis-30252	33	9	this	this	DET
fcis-30252	33	10	paper	paper	NOUN
fcis-30252	33	11	can	can	AUX
fcis-30252	33	12	significantly	significantly	ADV
fcis-30252	33	13	improve	improve	VERB
fcis-30252	33	14	the	the	DET
fcis-30252	33	15	accuracy	accuracy	NOUN
fcis-30252	33	16	and	and	CCONJ
fcis-30252	33	17	efficiency	efficiency	NOUN
fcis-30252	33	18	of	of	ADP
fcis-30252	33	19	fault	fault	NOUN
fcis-30252	33	20	detection	detection	NOUN
fcis-30252	33	21	,	,	PUNCT
fcis-30252	33	22	providing	provide	VERB
fcis-30252	33	23	theoretical	theoretical	ADJ
fcis-30252	33	24	support	support	NOUN
fcis-30252	33	25	and	and	CCONJ
fcis-30252	33	26	practical	practical	ADJ
fcis-30252	33	27	basis	basis	NOUN
fcis-30252	33	28	for	for	ADP
fcis-30252	33	29	the	the	DET
fcis-30252	33	30	popularization	popularization	NOUN
fcis-30252	33	31	and	and	CCONJ
fcis-30252	33	32	application	application	NOUN
fcis-30252	33	33	of	of	ADP
fcis-30252	33	34	acoustic	acoustic	ADJ
fcis-30252	33	35	emission	emission	NOUN
fcis-30252	33	36	technology	technology	NOUN
fcis-30252	33	37	in	in	ADP
fcis-30252	33	38	actual	actual	ADJ
fcis-30252	33	39	engineering	engineering	NOUN
fcis-30252	33	40	.	.	PUNCT
fcis-30252	34	1	2	2	X
fcis-30252	34	2	.	.	X
fcis-30252	34	3	acoustic	acoustic	ADJ
fcis-30252	34	4	emission	emission	NOUN
fcis-30252	34	5	signal	signal	NOUN
fcis-30252	34	6	processing	process	VERB
fcis-30252	34	7	2.1	2.1	NUM
fcis-30252	34	8	.	.	PUNCT
fcis-30252	35	1	ceemdan	ceemdan	PROPN
fcis-30252	35	2	principles	principle	NOUN
fcis-30252	35	3	the	the	DET
fcis-30252	35	4	ceemdan	ceemdan	PROPN
fcis-30252	35	5	algorithm	algorithm	PROPN
fcis-30252	35	6	introduces	introduce	VERB
fcis-30252	35	7	an	an	DET
fcis-30252	35	8	adaptive	adaptive	ADJ
fcis-30252	35	9	white	white	ADJ
fcis-30252	35	10	noise	noise	NOUN
fcis-30252	35	11	-	-	PUNCT
fcis-30252	35	12	assisted	assist	VERB
fcis-30252	35	13	decomposition	decomposition	NOUN
fcis-30252	35	14	process	process	NOUN
fcis-30252	35	15	,	,	PUNCT
fcis-30252	35	16	and	and	CCONJ
fcis-30252	35	17	this	this	DET
fcis-30252	35	18	strategy	strategy	NOUN
fcis-30252	35	19	can	can	AUX
fcis-30252	35	20	significantly	significantly	ADV
fcis-30252	35	21	reduce	reduce	VERB
fcis-30252	35	22	the	the	DET
fcis-30252	35	23	modal	modal	ADJ
fcis-30252	35	24	aliasing	aliasing	NOUN
fcis-30252	35	25	in	in	ADP
fcis-30252	35	26	emd	emd	PROPN
fcis-30252	35	27	processing	processing	NOUN
fcis-30252	35	28	.	.	PUNCT
fcis-30252	36	1	meanwhile	meanwhile	ADV
fcis-30252	36	2	,	,	PUNCT
fcis-30252	36	3	ceemdan	ceemdan	PROPN
fcis-30252	36	4	also	also	ADV
fcis-30252	36	5	has	have	VERB
fcis-30252	36	6	smaller	small	ADJ
fcis-30252	36	7	reconstruction	reconstruction	NOUN
fcis-30252	36	8	error	error	NOUN
fcis-30252	36	9	and	and	CCONJ
fcis-30252	36	10	higher	high	ADJ
fcis-30252	36	11	decomposition	decomposition	NOUN
fcis-30252	36	12	efficiency[10	efficiency[10	NOUN
fcis-30252	36	13	]	]	PUNCT
fcis-30252	36	14	.	.	PUNCT
fcis-30252	37	1	its	its	PRON
fcis-30252	37	2	specific	specific	ADJ
fcis-30252	37	3	algorithm	algorithm	NOUN
fcis-30252	37	4	steps	step	NOUN
fcis-30252	37	5	are	be	AUX
fcis-30252	37	6	as	as	SCONJ
fcis-30252	37	7	follows	follow	VERB
fcis-30252	37	8	:	:	PUNCT
fcis-30252	37	9	define	define	VERB
fcis-30252	37	10	the	the	DET
fcis-30252	37	11	cavitation	cavitation	NOUN
fcis-30252	37	12	noise	noise	NOUN
fcis-30252	37	13	time	time	NOUN
fcis-30252	37	14	series	series	PROPN
fcis-30252	37	15	containing	contain	VERB
fcis-30252	37	16	white	white	PROPN
fcis-30252	37	17	noise	noise	PROPN
fcis-30252	37	18	asx	asx	PROPN
fcis-30252	37	19	t	t	PROPN
fcis-30252	37	20	,	,	PUNCT
fcis-30252	37	21	v	v	ADP
fcis-30252	37	22	t	t	PROPN
fcis-30252	37	23	is	be	AUX
fcis-30252	37	24	the	the	DET
fcis-30252	37	25	white	white	ADJ
fcis-30252	37	26	noise	noise	NOUN
fcis-30252	37	27	sequence	sequence	NOUN
fcis-30252	37	28	,	,	PUNCT
fcis-30252	37	29	γ	γ	PROPN
fcis-30252	37	30	is	be	AUX
fcis-30252	37	31	the	the	DET
fcis-30252	37	32	standard	standard	ADJ
fcis-30252	37	33	deviation	deviation	NOUN
fcis-30252	37	34	of	of	ADP
fcis-30252	37	35	the	the	DET
fcis-30252	37	36	white	white	ADJ
fcis-30252	37	37	noise	noise	NOUN
fcis-30252	37	38	sequence	sequence	NOUN
fcis-30252	37	39	,	,	PUNCT
fcis-30252	37	40	and	and	CCONJ
fcis-30252	37	41	i	i	NOUN
fcis-30252	37	42	1,2	1,2	NUM
fcis-30252	37	43	,	,	PUNCT
fcis-30252	37	44	.	.	PUNCT
fcis-30252	37	45	.	.	PUNCT
fcis-30252	37	46	.	.	PUNCT
fcis-30252	38	1	n	n	PRON
fcis-30252	38	2	is	be	AUX
fcis-30252	38	3	the	the	DET
fcis-30252	38	4	number	number	NOUN
fcis-30252	38	5	of	of	ADP
fcis-30252	38	6	trials	trial	NOUN
fcis-30252	38	7	.	.	PUNCT
fcis-30252	39	1	the	the	DET
fcis-30252	39	2	signal	signal	NOUN
fcis-30252	39	3	after	after	ADP
fcis-30252	39	4	adding	add	VERB
fcis-30252	39	5	white	white	ADJ
fcis-30252	39	6	noise	noise	NOUN
fcis-30252	39	7	is	be	AUX
fcis-30252	39	8	:	:	PUNCT
fcis-30252	39	9	x	x	SYM
fcis-30252	39	10	t	t	NOUN
fcis-30252	39	11	x	x	SYM
fcis-30252	39	12	t	t	PROPN
fcis-30252	39	13	γ	γ	X
fcis-30252	39	14	v	v	ADP
fcis-30252	39	15	t	t	PROPN
fcis-30252	39	16	(	(	PUNCT
fcis-30252	39	17	1	1	X
fcis-30252	39	18	)	)	PUNCT
fcis-30252	39	19	the	the	DET
fcis-30252	39	20	signal	signal	NOUN
fcis-30252	39	21	x	x	X
fcis-30252	39	22	t	t	NOUN
fcis-30252	39	23	after	after	SCONJ
fcis-30252	39	24	the	the	DET
fcis-30252	39	25	addition	addition	NOUN
fcis-30252	39	26	of	of	ADP
fcis-30252	39	27	white	white	ADJ
fcis-30252	39	28	noise	noise	NOUN
fcis-30252	39	29	is	be	AUX
fcis-30252	39	30	decomposed	decompose	VERB
fcis-30252	39	31	with	with	ADP
fcis-30252	39	32	emd	emd	PROPN
fcis-30252	39	33	to	to	PART
fcis-30252	39	34	obtain	obtain	VERB
fcis-30252	39	35	a	a	DET
fcis-30252	39	36	set	set	NOUN
fcis-30252	39	37	of	of	ADP
fcis-30252	39	38	intrinsic	intrinsic	ADJ
fcis-30252	39	39	modal	modal	ADJ
fcis-30252	39	40	functions	function	NOUN
fcis-30252	39	41	(	(	PUNCT
fcis-30252	39	42	imfs	imfs	NOUN
fcis-30252	39	43	)	)	PUNCT
fcis-30252	39	44	.	.	PUNCT
fcis-30252	40	1	these	these	DET
fcis-30252	40	2	modal	modal	ADJ
fcis-30252	40	3	components	component	NOUN
fcis-30252	40	4	are	be	AUX
fcis-30252	40	5	averaged	average	VERB
fcis-30252	40	6	to	to	PART
fcis-30252	40	7	obtain	obtain	VERB
fcis-30252	40	8	the	the	DET
fcis-30252	40	9	first	first	ADJ
fcis-30252	40	10	imf	imf	NOUN
fcis-30252	40	11	of	of	ADP
fcis-30252	40	12	the	the	DET
fcis-30252	40	13	ceemdan	ceemdan	ADJ
fcis-30252	40	14	decomposition	decomposition	NOUN
fcis-30252	40	15	:	:	PUNCT
fcis-30252	40	16	imf	imf	PROPN
fcis-30252	40	17	t	t	PROPN
fcis-30252	40	18	∑	∑	PROPN
fcis-30252	40	19	imf	imf	PROPN
fcis-30252	40	20	t	t	PROPN
fcis-30252	40	21	(	(	PUNCT
fcis-30252	40	22	2	2	NUM
fcis-30252	40	23	)	)	PUNCT
fcis-30252	40	24	calculate	calculate	NOUN
fcis-30252	40	25	the	the	DET
fcis-30252	40	26	first	first	ADJ
fcis-30252	40	27	residual	residual	ADJ
fcis-30252	40	28	component	component	NOUN
fcis-30252	40	29	:	:	PUNCT
fcis-30252	40	30	r	r	NOUN
fcis-30252	40	31	t	t	PROPN
fcis-30252	40	32	x	x	SYM
fcis-30252	40	33	t	t	PROPN
fcis-30252	40	34	imf	imf	PROPN
fcis-30252	40	35	t	t	PROPN
fcis-30252	40	36	(	(	PUNCT
fcis-30252	40	37	3	3	X
fcis-30252	40	38	)	)	PUNCT
fcis-30252	40	39	white	white	PROPN
fcis-30252	40	40	noisev	noisev	PROPN
fcis-30252	40	41	t	t	PROPN
fcis-30252	40	42	is	be	AUX
fcis-30252	40	43	added	add	VERB
fcis-30252	40	44	to	to	ADP
fcis-30252	40	45	the	the	DET
fcis-30252	40	46	first	first	ADJ
fcis-30252	40	47	residualr	residualr	NOUN
fcis-30252	40	48	t	t	PROPN
fcis-30252	40	49	fori	fori	PROPN
fcis-30252	40	50	trials	trial	NOUN
fcis-30252	40	51	.	.	PUNCT
fcis-30252	41	1	on	on	ADP
fcis-30252	41	2	each	each	DET
fcis-30252	41	3	trial	trial	NOUN
fcis-30252	41	4	,	,	PUNCT
fcis-30252	41	5	decompose	decompose	VERB
fcis-30252	41	6	the	the	DET
fcis-30252	41	7	signal	signal	NOUN
fcis-30252	41	8	r	r	NOUN
fcis-30252	41	9	t	t	PROPN
fcis-30252	41	10	γ	γ	X
fcis-30252	41	11	v	v	ADP
fcis-30252	41	12	t	t	PROPN
fcis-30252	41	13	until	until	SCONJ
fcis-30252	41	14	it	it	PRON
fcis-30252	41	15	is	be	AUX
fcis-30252	41	16	decomposed	decompose	VERB
fcis-30252	41	17	into	into	ADP
fcis-30252	41	18	first	first	ADJ
fcis-30252	41	19	order	order	NOUN
fcis-30252	41	20	components	component	NOUN
fcis-30252	41	21	.	.	PUNCT
fcis-30252	42	1	the	the	DET
fcis-30252	42	2	second	second	ADJ
fcis-30252	42	3	modal	modal	NOUN
fcis-30252	42	4	componentimf	componentimf	PROPN
fcis-30252	42	5	is	be	AUX
fcis-30252	42	6	obtained	obtain	VERB
fcis-30252	42	7	:	:	PUNCT
fcis-30252	42	8	imf	imf	PROPN
fcis-30252	42	9	t	t	PROPN
fcis-30252	42	10	∑	∑	PUNCT
fcis-30252	42	11	e	e	PROPN
fcis-30252	42	12	r	r	NOUN
fcis-30252	42	13	t	t	PROPN
fcis-30252	42	14	γ	γ	X
fcis-30252	42	15	e	e	PROPN
fcis-30252	42	16	v	v	ADP
fcis-30252	42	17	t	t	PROPN
fcis-30252	42	18	(	(	PUNCT
fcis-30252	42	19	4	4	X
fcis-30252	42	20	)	)	PUNCT
fcis-30252	42	21	wheree	wheree	ADJ
fcis-30252	42	22	⋅	⋅	PROPN
fcis-30252	42	23	denotes	denote	NOUN
fcis-30252	42	24	thej	thej	VERB
fcis-30252	42	25	th	th	X
fcis-30252	42	26	order	order	NOUN
fcis-30252	42	27	component	component	NOUN
fcis-30252	42	28	generated	generate	VERB
fcis-30252	42	29	by	by	ADP
fcis-30252	42	30	the	the	DET
fcis-30252	42	31	emd	emd	PROPN
fcis-30252	42	32	method	method	NOUN
fcis-30252	42	33	.	.	PUNCT
fcis-30252	43	1	calculate	calculate	VERB
fcis-30252	43	2	the	the	DET
fcis-30252	43	3	second	second	ADJ
fcis-30252	43	4	residual	residual	ADJ
fcis-30252	43	5	component	component	NOUN
fcis-30252	43	6	:	:	PUNCT
fcis-30252	43	7	r	r	NOUN
fcis-30252	43	8	t	t	NOUN
fcis-30252	43	9	r	r	NOUN
fcis-30252	43	10	t	t	PROPN
fcis-30252	43	11	imf	imf	PROPN
fcis-30252	43	12	t	t	PROPN
fcis-30252	43	13	(	(	PUNCT
fcis-30252	43	14	5	5	NUM
fcis-30252	43	15	)	)	PUNCT
fcis-30252	43	16	the	the	DET
fcis-30252	43	17	above	above	ADJ
fcis-30252	43	18	steps	step	NOUN
fcis-30252	43	19	are	be	AUX
fcis-30252	43	20	repeated	repeat	VERB
fcis-30252	43	21	until	until	SCONJ
fcis-30252	43	22	the	the	DET
fcis-30252	43	23	residual	residual	ADJ
fcis-30252	43	24	signal	signal	NOUN
fcis-30252	43	25	obtained	obtain	VERB
fcis-30252	43	26	is	be	AUX
fcis-30252	43	27	a	a	DET
fcis-30252	43	28	monotonic	monotonic	ADJ
fcis-30252	43	29	function	function	NOUN
fcis-30252	43	30	and	and	CCONJ
fcis-30252	43	31	the	the	DET
fcis-30252	43	32	decomposition	decomposition	NOUN
fcis-30252	43	33	can	can	AUX
fcis-30252	43	34	not	not	PART
fcis-30252	43	35	be	be	AUX
fcis-30252	43	36	continued	continue	VERB
fcis-30252	43	37	.	.	PUNCT
fcis-30252	44	1	at	at	ADP
fcis-30252	44	2	this	this	DET
fcis-30252	44	3	point	point	NOUN
fcis-30252	44	4	,	,	PUNCT
fcis-30252	44	5	k	k	PROPN
fcis-30252	44	6	modal	modal	ADJ
fcis-30252	44	7	components	component	NOUN
fcis-30252	44	8	are	be	AUX
fcis-30252	44	9	obtained	obtain	VERB
fcis-30252	44	10	and	and	CCONJ
fcis-30252	44	11	the	the	DET
fcis-30252	44	12	final	final	ADJ
fcis-30252	44	13	residual	residual	ADJ
fcis-30252	44	14	component	component	NOUN
fcis-30252	44	15	isr	isr	PROPN
fcis-30252	44	16	t	t	PROPN
fcis-30252	44	17	.	.	PUNCT
fcis-30252	45	1	the	the	DET
fcis-30252	45	2	signalx	signalx	PROPN
fcis-30252	45	3	t	t	PROPN
fcis-30252	45	4	can	can	AUX
fcis-30252	45	5	be	be	AUX
fcis-30252	45	6	expressed	express	VERB
fcis-30252	45	7	as	as	ADP
fcis-30252	45	8	:	:	PUNCT
fcis-30252	45	9	x	x	SYM
fcis-30252	45	10	t	t	PROPN
fcis-30252	45	11	∑	∑	PROPN
fcis-30252	45	12	imf	imf	PROPN
fcis-30252	45	13	r	r	PROPN
fcis-30252	45	14	t	t	PROPN
fcis-30252	45	15	(	(	PUNCT
fcis-30252	45	16	6	6	NUM
fcis-30252	45	17	)	)	PUNCT
fcis-30252	45	18	2.2	2.2	NUM
fcis-30252	45	19	.	.	PUNCT
fcis-30252	46	1	cliff	cliff	NOUN
fcis-30252	46	2	criterion	criterion	NOUN
fcis-30252	46	3	cliff	cliff	NOUN
fcis-30252	46	4	is	be	AUX
fcis-30252	46	5	a	a	DET
fcis-30252	46	6	statistical	statistical	ADJ
fcis-30252	46	7	index	index	NOUN
fcis-30252	46	8	used	use	VERB
fcis-30252	46	9	to	to	PART
fcis-30252	46	10	describe	describe	VERB
fcis-30252	46	11	the	the	DET
fcis-30252	46	12	steepness	steepness	NOUN
fcis-30252	46	13	of	of	ADP
fcis-30252	46	14	the	the	DET
fcis-30252	46	15	probability	probability	NOUN
fcis-30252	46	16	distribution	distribution	NOUN
fcis-30252	46	17	.	.	PUNCT
fcis-30252	47	1	for	for	ADP
fcis-30252	47	2	bearing	bear	VERB
fcis-30252	47	3	acoustic	acoustic	ADJ
fcis-30252	47	4	emission	emission	NOUN
fcis-30252	47	5	signal	signal	NOUN
fcis-30252	47	6	,	,	PUNCT
fcis-30252	47	7	when	when	SCONJ
fcis-30252	47	8	its	its	PRON
fcis-30252	47	9	normal	normal	ADJ
fcis-30252	47	10	operation	operation	NOUN
fcis-30252	47	11	signal	signal	NOUN
fcis-30252	47	12	probability	probability	NOUN
fcis-30252	47	13	distribution	distribution	NOUN
fcis-30252	47	14	is	be	AUX
fcis-30252	47	15	approximately	approximately	ADV
fcis-30252	47	16	normal	normal	ADJ
fcis-30252	47	17	distribution	distribution	NOUN
fcis-30252	47	18	,	,	PUNCT
fcis-30252	47	19	the	the	DET
fcis-30252	47	20	periodic	periodic	ADJ
fcis-30252	47	21	impact	impact	NOUN
fcis-30252	47	22	is	be	AUX
fcis-30252	47	23	not	not	PART
fcis-30252	47	24	significant	significant	ADJ
fcis-30252	47	25	;	;	PUNCT
fcis-30252	47	26	and	and	CCONJ
fcis-30252	47	27	when	when	SCONJ
fcis-30252	47	28	the	the	DET
fcis-30252	47	29	bearing	bearing	NOUN
fcis-30252	47	30	failure	failure	NOUN
fcis-30252	47	31	,	,	PUNCT
fcis-30252	47	32	due	due	ADP
fcis-30252	47	33	to	to	ADP
fcis-30252	47	34	the	the	DET
fcis-30252	47	35	rolling	rolling	ADJ
fcis-30252	47	36	body	body	NOUN
fcis-30252	47	37	and	and	CCONJ
fcis-30252	47	38	the	the	DET
fcis-30252	47	39	fault	fault	NOUN
fcis-30252	47	40	point	point	NOUN
fcis-30252	47	41	of	of	ADP
fcis-30252	47	42	the	the	DET
fcis-30252	47	43	periodic	periodic	ADJ
fcis-30252	47	44	collision	collision	NOUN
fcis-30252	47	45	effect	effect	NOUN
fcis-30252	47	46	,	,	PUNCT
fcis-30252	47	47	the	the	DET
fcis-30252	47	48	signal	signal	ADJ
fcis-30252	47	49	probability	probability	NOUN
fcis-30252	47	50	distribution	distribution	NOUN
fcis-30252	47	51	tends	tend	VERB
fcis-30252	47	52	to	to	PART
fcis-30252	47	53	be	be	AUX
fcis-30252	47	54	steeper	steep	ADJ
fcis-30252	47	55	,	,	PUNCT
fcis-30252	47	56	the	the	DET
fcis-30252	47	57	crag	crag	NOUN
fcis-30252	47	58	value	value	NOUN
fcis-30252	47	59	increases	increase	VERB
fcis-30252	47	60	significantly	significantly	ADV
fcis-30252	47	61	.	.	PUNCT
fcis-30252	48	1	the	the	DET
fcis-30252	48	2	mathematical	mathematical	ADJ
fcis-30252	48	3	expression	expression	NOUN
fcis-30252	48	4	for	for	ADP
fcis-30252	48	5	this	this	DET
fcis-30252	48	6	statistic	statistic	NOUN
fcis-30252	48	7	of	of	ADP
fcis-30252	48	8	crag	crag	NOUN
fcis-30252	48	9	is	be	AUX
fcis-30252	48	10	:	:	PUNCT
fcis-30252	48	11	k	k	X
fcis-30252	48	12	(	(	PUNCT
fcis-30252	48	13	7	7	X
fcis-30252	48	14	)	)	PUNCT
fcis-30252	48	15	wherex	wherex	NOUN
fcis-30252	48	16	is	be	AUX
fcis-30252	48	17	the	the	DET
fcis-30252	48	18	acoustic	acoustic	ADJ
fcis-30252	48	19	emission	emission	NOUN
fcis-30252	48	20	signal	signal	NOUN
fcis-30252	48	21	,	,	PUNCT
fcis-30252	48	22	u	u	NOUN
fcis-30252	48	23	is	be	AUX
fcis-30252	48	24	the	the	DET
fcis-30252	48	25	mean	mean	ADJ
fcis-30252	48	26	value	value	NOUN
fcis-30252	48	27	of	of	ADP
fcis-30252	48	28	the	the	DET
fcis-30252	48	29	signal	signal	NOUN
fcis-30252	48	30	,	,	PUNCT
fcis-30252	48	31	andσ	andσ	NOUN
fcis-30252	48	32	is	be	AUX
fcis-30252	48	33	the	the	DET
fcis-30252	48	34	standard	standard	ADJ
fcis-30252	48	35	deviation	deviation	NOUN
fcis-30252	48	36	of	of	ADP
fcis-30252	48	37	the	the	DET
fcis-30252	48	38	signal	signal	NOUN
fcis-30252	48	39	.	.	PUNCT
fcis-30252	49	1	however	however	ADV
fcis-30252	49	2	,	,	PUNCT
fcis-30252	49	3	the	the	DET
fcis-30252	49	4	bearing	bear	VERB
fcis-30252	49	5	acoustic	acoustic	ADJ
fcis-30252	49	6	emission	emission	NOUN
fcis-30252	49	7	signals	signal	NOUN
fcis-30252	49	8	contain	contain	VERB
fcis-30252	49	9	fault	fault	NOUN
fcis-30252	49	10	information	information	NOUN
fcis-30252	49	11	in	in	ADP
fcis-30252	49	12	addition	addition	NOUN
fcis-30252	49	13	to	to	ADP
fcis-30252	49	14	the	the	DET
fcis-30252	49	15	superimposed	superimpose	VERB
fcis-30252	49	16	background	background	NOUN
fcis-30252	49	17	noise	noise	NOUN
fcis-30252	49	18	generated	generate	VERB
fcis-30252	49	19	by	by	ADP
fcis-30252	49	20	the	the	DET
fcis-30252	49	21	operation	operation	NOUN
fcis-30252	49	22	of	of	ADP
fcis-30252	49	23	the	the	DET
fcis-30252	49	24	mechanical	mechanical	ADJ
fcis-30252	49	25	system	system	NOUN
fcis-30252	49	26	and	and	CCONJ
fcis-30252	49	27	vibration	vibration	NOUN
fcis-30252	49	28	interference	interference	NOUN
fcis-30252	49	29	from	from	ADP
fcis-30252	49	30	other	other	ADJ
fcis-30252	49	31	components	component	NOUN
fcis-30252	49	32	.	.	PUNCT
fcis-30252	50	1	in	in	ADP
fcis-30252	50	2	this	this	DET
fcis-30252	50	3	study	study	NOUN
fcis-30252	50	4	,	,	PUNCT
fcis-30252	50	5	a	a	DET
fcis-30252	50	6	normalization	normalization	NOUN
fcis-30252	50	7	method	method	NOUN
fcis-30252	50	8	is	be	AUX
fcis-30252	50	9	used	use	VERB
fcis-30252	50	10	to	to	PART
fcis-30252	50	11	process	process	VERB
fcis-30252	50	12	the	the	DET
fcis-30252	50	13	imf	imf	PROPN
fcis-30252	50	14	component	component	NOUN
fcis-30252	50	15	clarity	clarity	NOUN
fcis-30252	50	16	values	value	NOUN
fcis-30252	50	17	to	to	PART
fcis-30252	50	18	attenuate	attenuate	VERB
fcis-30252	50	19	the	the	DET
fcis-30252	50	20	influence	influence	NOUN
fcis-30252	50	21	effect	effect	NOUN
fcis-30252	50	22	of	of	ADP
fcis-30252	50	23	the	the	DET
fcis-30252	50	24	original	original	ADJ
fcis-30252	50	25	signal	signal	NOUN
fcis-30252	50	26	clarity	clarity	NOUN
fcis-30252	50	27	:	:	PUNCT
fcis-30252	50	28	ku	ku	PROPN
fcis-30252	50	29	(	(	PUNCT
fcis-30252	50	30	8)	8)	PROPN
fcis-30252	50	31	2.3	2.3	NUM
fcis-30252	50	32	.	.	PUNCT
fcis-30252	51	1	pearson	pearson	PROPN
fcis-30252	51	2	's	's	PART
fcis-30252	51	3	coefficient	coefficient	NOUN
fcis-30252	51	4	the	the	DET
fcis-30252	51	5	pearson	pearson	PROPN
fcis-30252	51	6	correlation	correlation	NOUN
fcis-30252	51	7	coefficient	coefficient	NOUN
fcis-30252	51	8	is	be	AUX
fcis-30252	51	9	a	a	DET
fcis-30252	51	10	statistic	statistic	NOUN
fcis-30252	51	11	that	that	PRON
fcis-30252	51	12	measures	measure	VERB
fcis-30252	51	13	the	the	DET
fcis-30252	51	14	degree	degree	NOUN
fcis-30252	51	15	of	of	ADP
fcis-30252	51	16	linear	linear	ADJ
fcis-30252	51	17	correlation	correlation	NOUN
fcis-30252	51	18	between	between	ADP
fcis-30252	51	19	two	two	NUM
fcis-30252	51	20	variables[11	variables[11	NOUN
fcis-30252	51	21	]	]	PUNCT
fcis-30252	51	22	.	.	PUNCT
fcis-30252	52	1	for	for	ADP
fcis-30252	52	2	bearings	bearing	NOUN
fcis-30252	52	3	containing	contain	VERB
fcis-30252	52	4	localized	localized	ADJ
fcis-30252	52	5	faults	fault	NOUN
fcis-30252	52	6	,	,	PUNCT
fcis-30252	52	7	their	their	PRON
fcis-30252	52	8	acoustic	acoustic	ADJ
fcis-30252	52	9	emission	emission	NOUN
fcis-30252	52	10	signals	signal	NOUN
fcis-30252	52	11	are	be	AUX
fcis-30252	52	12	mainly	mainly	ADV
fcis-30252	52	13	composed	compose	VERB
fcis-30252	52	14	of	of	ADP
fcis-30252	52	15	fault	fault	NOUN
fcis-30252	52	16	shocks	shock	NOUN
fcis-30252	52	17	,	,	PUNCT
fcis-30252	52	18	friction	friction	NOUN
fcis-30252	52	19	vibrations	vibration	NOUN
fcis-30252	52	20	and	and	CCONJ
fcis-30252	52	21	background	background	NOUN
fcis-30252	52	22	noise	noise	NOUN
fcis-30252	52	23	components	component	NOUN
fcis-30252	52	24	.	.	PUNCT
fcis-30252	53	1	the	the	PRON
fcis-30252	53	2	stronger	strong	ADJ
fcis-30252	53	3	the	the	DET
fcis-30252	53	4	correlation	correlation	NOUN
fcis-30252	53	5	between	between	ADP
fcis-30252	53	6	the	the	DET
fcis-30252	53	7	imf	imf	PROPN
fcis-30252	53	8	component	component	NOUN
fcis-30252	53	9	obtained	obtain	VERB
fcis-30252	53	10	by	by	ADP
fcis-30252	53	11	ceemdan	ceemdan	ADJ
fcis-30252	53	12	decomposition	decomposition	NOUN
fcis-30252	53	13	and	and	CCONJ
fcis-30252	53	14	the	the	DET
fcis-30252	53	15	original	original	ADJ
fcis-30252	53	16	signal	signal	NOUN
fcis-30252	53	17	,	,	PUNCT
fcis-30252	53	18	the	the	PRON
fcis-30252	53	19	more	more	ADV
fcis-30252	53	20	likely	likely	ADJ
fcis-30252	53	21	the	the	DET
fcis-30252	53	22	component	component	NOUN
fcis-30252	53	23	carries	carry	VERB
fcis-30252	53	24	valid	valid	ADJ
fcis-30252	53	25	fault	fault	NOUN
fcis-30252	53	26	information	information	NOUN
fcis-30252	53	27	.	.	PUNCT
fcis-30252	54	1	the	the	DET
fcis-30252	54	2	mathematical	mathematical	ADJ
fcis-30252	54	3	definition	definition	NOUN
fcis-30252	54	4	of	of	ADP
fcis-30252	54	5	pearson	pearson	PROPN
fcis-30252	54	6	's	's	PART
fcis-30252	54	7	correlation	correlation	NOUN
fcis-30252	54	8	coefficient	coefficient	NOUN
fcis-30252	54	9	is	be	AUX
fcis-30252	54	10	:	:	PUNCT
fcis-30252	54	11	r	r	NOUN
fcis-30252	54	12	,	,	PUNCT
fcis-30252	54	13	⋅	⋅	X
fcis-30252	54	14	(	(	PUNCT
fcis-30252	54	15	9	9	NUM
fcis-30252	54	16	)	)	PUNCT
fcis-30252	54	17	wherer	wherer	NOUN
fcis-30252	54	18	is	be	AUX
fcis-30252	54	19	the	the	DET
fcis-30252	54	20	pearson	pearson	PROPN
fcis-30252	54	21	correlation	correlation	NOUN
fcis-30252	54	22	coefficient	coefficient	NOUN
fcis-30252	54	23	,	,	PUNCT
fcis-30252	54	24	cov	cov	PROPN
fcis-30252	54	25	x	x	AUX
fcis-30252	54	26	,	,	PUNCT
fcis-30252	54	27	y	y	PROPN
fcis-30252	54	28	is	be	AUX
fcis-30252	54	29	the	the	DET
fcis-30252	54	30	covariance	covariance	NOUN
fcis-30252	54	31	of	of	ADP
fcis-30252	54	32	the	the	DET
fcis-30252	54	33	random	random	ADJ
fcis-30252	54	34	variablesx	variablesx	ADJ
fcis-30252	54	35	andy	andy	PROPN
fcis-30252	54	36	,	,	PUNCT
fcis-30252	54	37	σ	σ	PROPN
fcis-30252	54	38	x	x	PROPN
fcis-30252	54	39	is	be	AUX
fcis-30252	54	40	the	the	DET
fcis-30252	54	41	standard	standard	ADJ
fcis-30252	54	42	deviation	deviation	NOUN
fcis-30252	54	43	of	of	ADP
fcis-30252	54	44	the	the	DET
fcis-30252	54	45	random	random	ADJ
fcis-30252	54	46	variablex	variablex	NOUN
fcis-30252	54	47	,	,	PUNCT
fcis-30252	54	48	andσ	andσ	NOUN
fcis-30252	54	49	y	y	PROPN
fcis-30252	54	50	is	be	AUX
fcis-30252	54	51	the	the	DET
fcis-30252	54	52	standard	standard	ADJ
fcis-30252	54	53	deviation	deviation	NOUN
fcis-30252	54	54	of	of	ADP
fcis-30252	54	55	the	the	DET
fcis-30252	54	56	random	random	ADJ
fcis-30252	54	57	variabley	variabley	NOUN
fcis-30252	54	58	.	.	PUNCT
fcis-30252	55	1	the	the	DET
fcis-30252	55	2	pearson	pearson	PROPN
fcis-30252	55	3	correlation	correlation	NOUN
fcis-30252	55	4	coefficient	coefficient	NOUN
fcis-30252	55	5	is	be	AUX
fcis-30252	55	6	used	use	VERB
fcis-30252	55	7	to	to	PART
fcis-30252	55	8	measure	measure	VERB
fcis-30252	55	9	the	the	DET
fcis-30252	55	10	degree	degree	NOUN
fcis-30252	55	11	of	of	ADP
fcis-30252	55	12	correlation	correlation	NOUN
fcis-30252	55	13	between	between	ADP
fcis-30252	55	14	the	the	DET
fcis-30252	55	15	imf	imf	PROPN
fcis-30252	55	16	component	component	NOUN
fcis-30252	55	17	and	and	CCONJ
fcis-30252	55	18	the	the	DET
fcis-30252	55	19	original	original	ADJ
fcis-30252	55	20	signal	signal	NOUN
fcis-30252	55	21	,	,	PUNCT
fcis-30252	55	22	and	and	CCONJ
fcis-30252	55	23	is	be	AUX
fcis-30252	55	24	calculated	calculate	VERB
fcis-30252	55	25	as	as	ADP
fcis-30252	55	26	:	:	PUNCT
fcis-30252	55	27	cc	cc	PROPN
fcis-30252	55	28	r	r	NOUN
fcis-30252	55	29	imfi	imfi	NOUN
fcis-30252	55	30	,	,	PUNCT
fcis-30252	55	31	x	x	X
fcis-30252	55	32	(	(	PUNCT
fcis-30252	55	33	10	10	NUM
fcis-30252	55	34	)	)	PUNCT
fcis-30252	55	35	where	where	SCONJ
fcis-30252	55	36	,	,	PUNCT
fcis-30252	55	37	imfi	imfi	NOUN
fcis-30252	55	38	is	be	AUX
fcis-30252	55	39	the	the	DET
fcis-30252	55	40	firsti	firsti	NOUN
fcis-30252	55	41	modal	modal	NOUN
fcis-30252	55	42	component	component	NOUN
fcis-30252	55	43	andx	andx	PROPN
fcis-30252	55	44	is	be	AUX
fcis-30252	55	45	the	the	DET
fcis-30252	55	46	original	original	ADJ
fcis-30252	55	47	signal	signal	NOUN
fcis-30252	55	48	.	.	PUNCT
fcis-30252	56	1	when	when	SCONJ
fcis-30252	56	2	a	a	DET
fcis-30252	56	3	localized	localized	ADJ
fcis-30252	56	4	fault	fault	NOUN
fcis-30252	56	5	occurs	occur	VERB
fcis-30252	56	6	in	in	ADP
fcis-30252	56	7	a	a	DET
fcis-30252	56	8	bearing	bearing	NOUN
fcis-30252	56	9	,	,	PUNCT
fcis-30252	56	10	the	the	DET
fcis-30252	56	11	resulting	result	VERB
fcis-30252	56	12	shock	shock	NOUN
fcis-30252	56	13	signal	signal	NOUN
fcis-30252	56	14	manifests	manifest	VERB
fcis-30252	56	15	itself	itself	PRON
fcis-30252	56	16	in	in	ADP
fcis-30252	56	17	multiple	multiple	ADJ
fcis-30252	56	18	imf	imf	PROPN
fcis-30252	56	19	components	component	NOUN
fcis-30252	56	20	.	.	PUNCT
fcis-30252	57	1	these	these	DET
fcis-30252	57	2	imf	imf	PROPN
fcis-30252	57	3	components	component	NOUN
fcis-30252	57	4	containing	contain	VERB
fcis-30252	57	5	fault	fault	NOUN
fcis-30252	57	6	information	information	NOUN
fcis-30252	57	7	have	have	VERB
fcis-30252	57	8	a	a	DET
fcis-30252	57	9	strong	strong	ADJ
fcis-30252	57	10	correlation	correlation	NOUN
fcis-30252	57	11	with	with	ADP
fcis-30252	57	12	the	the	DET
fcis-30252	57	13	original	original	ADJ
fcis-30252	57	14	signal	signal	NOUN
fcis-30252	57	15	because	because	SCONJ
fcis-30252	57	16	they	they	PRON
fcis-30252	57	17	retain	retain	VERB
fcis-30252	57	18	the	the	DET
fcis-30252	57	19	main	main	ADJ
fcis-30252	57	20	features	feature	NOUN
fcis-30252	57	21	of	of	ADP
fcis-30252	57	22	the	the	DET
fcis-30252	57	23	original	original	ADJ
fcis-30252	57	24	signal	signal	NOUN
fcis-30252	57	25	.	.	PUNCT
fcis-30252	58	1	on	on	ADP
fcis-30252	58	2	the	the	DET
fcis-30252	58	3	contrary	contrary	NOUN
fcis-30252	58	4	,	,	PUNCT
fcis-30252	58	5	those	those	DET
fcis-30252	58	6	imf	imf	PROPN
fcis-30252	58	7	components	component	NOUN
fcis-30252	58	8	that	that	PRON
fcis-30252	58	9	are	be	AUX
fcis-30252	58	10	mainly	mainly	ADV
fcis-30252	58	11	composed	compose	VERB
fcis-30252	58	12	of	of	ADP
fcis-30252	58	13	noise	noise	NOUN
fcis-30252	58	14	have	have	VERB
fcis-30252	58	15	a	a	DET
fcis-30252	58	16	weak	weak	ADJ
fcis-30252	58	17	correlation	correlation	NOUN
fcis-30252	58	18	with	with	ADP
fcis-30252	58	19	the	the	DET
fcis-30252	58	20	original	original	ADJ
fcis-30252	58	21	signal	signal	NOUN
fcis-30252	58	22	due	due	ADP
fcis-30252	58	23	to	to	ADP
fcis-30252	58	24	their	their	PRON
fcis-30252	58	25	high	high	ADJ
fcis-30252	58	26	randomness	randomness	NOUN
fcis-30252	58	27	.	.	PUNCT
fcis-30252	59	1	based	base	VERB
fcis-30252	59	2	on	on	ADP
fcis-30252	59	3	this	this	DET
fcis-30252	59	4	feature	feature	NOUN
fcis-30252	59	5	,	,	PUNCT
fcis-30252	59	6	by	by	ADP
fcis-30252	59	7	calculating	calculate	VERB
fcis-30252	59	8	the	the	DET
fcis-30252	59	9	correlation	correlation	NOUN
fcis-30252	59	10	coefficient	coefficient	NOUN
fcis-30252	59	11	between	between	ADP
fcis-30252	59	12	the	the	DET
fcis-30252	59	13	imf	imf	PROPN
fcis-30252	59	14	components	component	NOUN
fcis-30252	59	15	and	and	CCONJ
fcis-30252	59	16	the	the	DET
fcis-30252	59	17	original	original	ADJ
fcis-30252	59	18	signal	signal	NOUN
fcis-30252	59	19	,	,	PUNCT
fcis-30252	59	20	the	the	DET
fcis-30252	59	21	components	component	NOUN
fcis-30252	59	22	containing	contain	VERB
fcis-30252	59	23	fault	fault	NOUN
fcis-30252	59	24	information	information	NOUN
fcis-30252	59	25	can	can	AUX
fcis-30252	59	26	be	be	AUX
fcis-30252	59	27	effectively	effectively	ADV
fcis-30252	59	28	identified	identify	VERB
fcis-30252	59	29	and	and	CCONJ
fcis-30252	59	30	filtered	filter	VERB
fcis-30252	59	31	out	out	ADP
fcis-30252	59	32	.	.	PUNCT
fcis-30252	60	1	141	141	NUM
fcis-30252	60	2	2.4	2.4	NUM
fcis-30252	60	3	.	.	PUNCT
fcis-30252	61	1	cliff	cliff	NOUN
fcis-30252	61	2	-	-	PUNCT
fcis-30252	61	3	correlation	correlation	NOUN
fcis-30252	61	4	feature	feature	NOUN
fcis-30252	61	5	-	-	PUNCT
fcis-30252	61	6	based	base	VERB
fcis-30252	61	7	weight	weight	NOUN
fcis-30252	61	8	component	component	NOUN
fcis-30252	61	9	screening	screen	VERB
fcis-30252	61	10	approach	approach	NOUN
fcis-30252	61	11	rolling	roll	VERB
fcis-30252	61	12	bearing	bear	VERB
fcis-30252	61	13	acoustic	acoustic	ADJ
fcis-30252	61	14	emission	emission	NOUN
fcis-30252	61	15	signal	signal	NOUN
fcis-30252	61	16	has	have	VERB
fcis-30252	61	17	nonstationarity	nonstationarity	NOUN
fcis-30252	61	18	and	and	CCONJ
fcis-30252	61	19	non	non	ADJ
fcis-30252	61	20	-	-	ADJ
fcis-30252	61	21	linear	linear	ADJ
fcis-30252	61	22	characteristics	characteristic	NOUN
fcis-30252	61	23	,	,	PUNCT
fcis-30252	61	24	and	and	CCONJ
fcis-30252	61	25	its	its	PRON
fcis-30252	61	26	fault	fault	NOUN
fcis-30252	61	27	information	information	NOUN
fcis-30252	61	28	is	be	AUX
fcis-30252	61	29	mainly	mainly	ADV
fcis-30252	61	30	manifested	manifest	VERB
fcis-30252	61	31	as	as	ADP
fcis-30252	61	32	transient	transient	ADJ
fcis-30252	61	33	impact	impact	NOUN
fcis-30252	61	34	component	component	NOUN
fcis-30252	61	35	.	.	PUNCT
fcis-30252	62	1	due	due	ADP
fcis-30252	62	2	to	to	ADP
fcis-30252	62	3	the	the	DET
fcis-30252	62	4	influence	influence	NOUN
fcis-30252	62	5	of	of	ADP
fcis-30252	62	6	complex	complex	ADJ
fcis-30252	62	7	working	working	ADJ
fcis-30252	62	8	conditions	condition	NOUN
fcis-30252	62	9	,	,	PUNCT
fcis-30252	62	10	diverse	diverse	ADJ
fcis-30252	62	11	propagation	propagation	NOUN
fcis-30252	62	12	paths	path	NOUN
fcis-30252	62	13	and	and	CCONJ
fcis-30252	62	14	other	other	ADJ
fcis-30252	62	15	factors	factor	NOUN
fcis-30252	62	16	,	,	PUNCT
fcis-30252	62	17	it	it	PRON
fcis-30252	62	18	is	be	AUX
fcis-30252	62	19	difficult	difficult	ADJ
fcis-30252	62	20	for	for	SCONJ
fcis-30252	62	21	a	a	DET
fcis-30252	62	22	single	single	ADJ
fcis-30252	62	23	evaluation	evaluation	NOUN
fcis-30252	62	24	index	index	NOUN
fcis-30252	62	25	to	to	PART
fcis-30252	62	26	fully	fully	ADV
fcis-30252	62	27	reflect	reflect	VERB
fcis-30252	62	28	the	the	DET
fcis-30252	62	29	fault	fault	NOUN
fcis-30252	62	30	characteristic	characteristic	ADJ
fcis-30252	62	31	information	information	NOUN
fcis-30252	62	32	contained	contain	VERB
fcis-30252	62	33	in	in	ADP
fcis-30252	62	34	the	the	DET
fcis-30252	62	35	imf	imf	PROPN
fcis-30252	62	36	component	component	NOUN
fcis-30252	62	37	.	.	PUNCT
fcis-30252	63	1	although	although	SCONJ
fcis-30252	63	2	the	the	DET
fcis-30252	63	3	crag	crag	NOUN
fcis-30252	63	4	of	of	ADP
fcis-30252	63	5	transient	transient	ADJ
fcis-30252	63	6	characteristics	characteristic	NOUN
fcis-30252	63	7	can	can	AUX
fcis-30252	63	8	capture	capture	VERB
fcis-30252	63	9	the	the	DET
fcis-30252	63	10	short	short	ADJ
fcis-30252	63	11	-	-	PUNCT
fcis-30252	63	12	term	term	NOUN
fcis-30252	63	13	shock	shock	NOUN
fcis-30252	63	14	characteristics	characteristic	NOUN
fcis-30252	63	15	,	,	PUNCT
fcis-30252	63	16	it	it	PRON
fcis-30252	63	17	is	be	AUX
fcis-30252	63	18	easily	easily	ADV
fcis-30252	63	19	affected	affect	VERB
fcis-30252	63	20	by	by	ADP
fcis-30252	63	21	noise	noise	NOUN
fcis-30252	63	22	and	and	CCONJ
fcis-30252	63	23	may	may	AUX
fcis-30252	63	24	amplify	amplify	VERB
fcis-30252	63	25	irrelevant	irrelevant	ADJ
fcis-30252	63	26	signals	signal	NOUN
fcis-30252	63	27	;	;	PUNCT
fcis-30252	63	28	while	while	SCONJ
fcis-30252	63	29	the	the	DET
fcis-30252	63	30	correlation	correlation	NOUN
fcis-30252	63	31	coefficient	coefficient	NOUN
fcis-30252	63	32	of	of	ADP
fcis-30252	63	33	overall	overall	ADJ
fcis-30252	63	34	characteristics	characteristic	NOUN
fcis-30252	63	35	,	,	PUNCT
fcis-30252	63	36	although	although	SCONJ
fcis-30252	63	37	it	it	PRON
fcis-30252	63	38	can	can	AUX
fcis-30252	63	39	reflect	reflect	VERB
fcis-30252	63	40	the	the	DET
fcis-30252	63	41	global	global	ADJ
fcis-30252	63	42	trend	trend	NOUN
fcis-30252	63	43	of	of	ADP
fcis-30252	63	44	the	the	DET
fcis-30252	63	45	signals	signal	NOUN
fcis-30252	63	46	,	,	PUNCT
fcis-30252	63	47	may	may	AUX
fcis-30252	63	48	be	be	AUX
fcis-30252	63	49	difficult	difficult	ADJ
fcis-30252	63	50	to	to	PART
fcis-30252	63	51	respond	respond	VERB
fcis-30252	63	52	sensitively	sensitively	ADV
fcis-30252	63	53	under	under	ADP
fcis-30252	63	54	weak	weak	ADJ
fcis-30252	63	55	fault	fault	NOUN
fcis-30252	63	56	shocks	shock	NOUN
fcis-30252	63	57	.	.	PUNCT
fcis-30252	64	1	to	to	PART
fcis-30252	64	2	overcome	overcome	VERB
fcis-30252	64	3	the	the	DET
fcis-30252	64	4	limitations	limitation	NOUN
fcis-30252	64	5	of	of	ADP
fcis-30252	64	6	a	a	DET
fcis-30252	64	7	single	single	ADJ
fcis-30252	64	8	criterion	criterion	NOUN
fcis-30252	64	9	,	,	PUNCT
fcis-30252	64	10	this	this	DET
fcis-30252	64	11	paper	paper	NOUN
fcis-30252	64	12	combines	combine	VERB
fcis-30252	64	13	the	the	DET
fcis-30252	64	14	cliff	cliff	NOUN
fcis-30252	64	15	value	value	NOUN
fcis-30252	64	16	and	and	CCONJ
fcis-30252	64	17	the	the	DET
fcis-30252	64	18	correlation	correlation	NOUN
fcis-30252	64	19	coefficient	coefficient	NOUN
fcis-30252	64	20	to	to	PART
fcis-30252	64	21	construct	construct	VERB
fcis-30252	64	22	a	a	DET
fcis-30252	64	23	combined	combine	VERB
fcis-30252	64	24	evaluation	evaluation	NOUN
fcis-30252	64	25	index	index	NOUN
fcis-30252	64	26	-	-	PUNCT
fcis-30252	64	27	multidimensional	multidimensional	ADJ
fcis-30252	64	28	fault	fault	NOUN
fcis-30252	64	29	characterization	characterization	NOUN
fcis-30252	64	30	factor	factor	NOUN
fcis-30252	65	1	p.	p.	NOUN
fcis-30252	65	2	the	the	DET
fcis-30252	65	3	multidimensional	multidimensional	ADJ
fcis-30252	65	4	fault	fault	NOUN
fcis-30252	65	5	characterization	characterization	NOUN
fcis-30252	65	6	factor	factor	NOUN
fcis-30252	65	7	p	p	NOUN
fcis-30252	65	8	(	(	PUNCT
fcis-30252	65	9	hereafter	hereafter	ADV
fcis-30252	65	10	referred	refer	VERB
fcis-30252	65	11	to	to	ADP
fcis-30252	65	12	as	as	SCONJ
fcis-30252	65	13	the	the	DET
fcis-30252	65	14	fault	fault	NOUN
fcis-30252	65	15	factor	factor	NOUN
fcis-30252	65	16	)	)	PUNCT
fcis-30252	65	17	is	be	AUX
fcis-30252	65	18	defined	define	VERB
fcis-30252	65	19	as	as	ADP
fcis-30252	65	20	:	:	PUNCT
fcis-30252	65	21	p	p	PROPN
fcis-30252	65	22	ku	ku	PROPN
fcis-30252	65	23	cc	cc	PROPN
fcis-30252	65	24	(	(	PUNCT
fcis-30252	65	25	11	11	NUM
fcis-30252	65	26	)	)	PUNCT
fcis-30252	65	27	whereku	whereku	NOUN
fcis-30252	65	28	is	be	AUX
fcis-30252	65	29	the	the	DET
fcis-30252	65	30	normalized	normalize	VERB
fcis-30252	65	31	cliff	cliff	NOUN
fcis-30252	65	32	value	value	NOUN
fcis-30252	65	33	andcc	andcc	NOUN
fcis-30252	65	34	is	be	AUX
fcis-30252	65	35	the	the	DET
fcis-30252	65	36	pearson	pearson	PROPN
fcis-30252	65	37	correlation	correlation	NOUN
fcis-30252	65	38	coefficient	coefficient	NOUN
fcis-30252	65	39	.	.	PUNCT
fcis-30252	66	1	by	by	ADP
fcis-30252	66	2	this	this	DET
fcis-30252	66	3	method	method	NOUN
fcis-30252	66	4	,	,	PUNCT
fcis-30252	66	5	the	the	DET
fcis-30252	66	6	component	component	NOUN
fcis-30252	66	7	that	that	PRON
fcis-30252	66	8	best	well	ADV
fcis-30252	66	9	reflects	reflect	VERB
fcis-30252	66	10	the	the	DET
fcis-30252	66	11	signal	signal	ADJ
fcis-30252	66	12	fault	fault	NOUN
fcis-30252	66	13	characteristics	characteristic	NOUN
fcis-30252	66	14	can	can	AUX
fcis-30252	66	15	be	be	AUX
fcis-30252	66	16	found	find	VERB
fcis-30252	66	17	among	among	ADP
fcis-30252	66	18	multiple	multiple	ADJ
fcis-30252	66	19	modal	modal	ADJ
fcis-30252	66	20	components	component	NOUN
fcis-30252	66	21	,	,	PUNCT
fcis-30252	66	22	avoiding	avoid	VERB
fcis-30252	66	23	the	the	DET
fcis-30252	66	24	blindness	blindness	NOUN
fcis-30252	66	25	of	of	ADP
fcis-30252	66	26	a	a	DET
fcis-30252	66	27	single	single	ADJ
fcis-30252	66	28	threshold	threshold	NOUN
fcis-30252	66	29	or	or	CCONJ
fcis-30252	66	30	a	a	DET
fcis-30252	66	31	fixed	fix	VERB
fcis-30252	66	32	criterion	criterion	NOUN
fcis-30252	66	33	and	and	CCONJ
fcis-30252	66	34	ensuring	ensure	VERB
fcis-30252	66	35	the	the	DET
fcis-30252	66	36	dynamic	dynamic	ADJ
fcis-30252	66	37	adaptability	adaptability	NOUN
fcis-30252	66	38	of	of	ADP
fcis-30252	66	39	the	the	DET
fcis-30252	66	40	analysis	analysis	NOUN
fcis-30252	66	41	process	process	NOUN
fcis-30252	66	42	.	.	PUNCT
fcis-30252	67	1	2.5	2.5	NUM
fcis-30252	67	2	.	.	PUNCT
fcis-30252	68	1	permutation	permutation	NOUN
fcis-30252	68	2	entropy	entropy	PROPN
fcis-30252	68	3	permutation	permutation	PROPN
fcis-30252	68	4	entropy	entropy	PROPN
fcis-30252	68	5	(	(	PUNCT
fcis-30252	68	6	pe	pe	INTJ
fcis-30252	68	7	)	)	PUNCT
fcis-30252	68	8	is	be	AUX
fcis-30252	68	9	a	a	DET
fcis-30252	68	10	measure	measure	NOUN
fcis-30252	68	11	of	of	ADP
fcis-30252	68	12	time	time	NOUN
fcis-30252	68	13	series	series	PROPN
fcis-30252	68	14	complexity	complexity	NOUN
fcis-30252	68	15	proposed	propose	VERB
fcis-30252	68	16	by	by	ADP
fcis-30252	68	17	porto	porto	PROPN
fcis-30252	68	18	et	et	PROPN
fcis-30252	68	19	al	al	PROPN
fcis-30252	68	20	.	.	PROPN
fcis-30252	68	21	in	in	ADP
fcis-30252	68	22	2000	2000	NUM
fcis-30252	68	23	.	.	PUNCT
fcis-30252	69	1	permutation	permutation	NOUN
fcis-30252	69	2	entropy	entropy	PROPN
fcis-30252	69	3	evaluates	evaluate	VERB
fcis-30252	69	4	the	the	DET
fcis-30252	69	5	complexity	complexity	NOUN
fcis-30252	69	6	and	and	CCONJ
fcis-30252	69	7	disorder	disorder	NOUN
fcis-30252	69	8	of	of	ADP
fcis-30252	69	9	information	information	NOUN
fcis-30252	69	10	in	in	ADP
fcis-30252	69	11	time	time	NOUN
fcis-30252	69	12	series	series	PROPN
fcis-30252	69	13	data	datum	NOUN
fcis-30252	69	14	by	by	ADP
fcis-30252	69	15	analyzing	analyze	VERB
fcis-30252	69	16	the	the	DET
fcis-30252	69	17	ordering	ordering	NOUN
fcis-30252	69	18	of	of	ADP
fcis-30252	69	19	neighboring	neighboring	NOUN
fcis-30252	69	20	points[12	points[12	NOUN
fcis-30252	69	21	]	]	PUNCT
fcis-30252	69	22	.	.	PUNCT
fcis-30252	70	1	different	different	ADJ
fcis-30252	70	2	from	from	ADP
fcis-30252	70	3	the	the	DET
fcis-30252	70	4	traditional	traditional	ADJ
fcis-30252	70	5	entropy	entropy	NOUN
fcis-30252	70	6	theory	theory	NOUN
fcis-30252	70	7	,	,	PUNCT
fcis-30252	70	8	the	the	DET
fcis-30252	70	9	alignment	alignment	NOUN
fcis-30252	70	10	entropy	entropy	NOUN
fcis-30252	70	11	does	do	AUX
fcis-30252	70	12	not	not	PART
fcis-30252	70	13	depend	depend	VERB
fcis-30252	70	14	on	on	ADP
fcis-30252	70	15	the	the	DET
fcis-30252	70	16	specific	specific	ADJ
fcis-30252	70	17	value	value	NOUN
fcis-30252	70	18	of	of	ADP
fcis-30252	70	19	the	the	DET
fcis-30252	70	20	time	time	NOUN
fcis-30252	70	21	series	series	NOUN
fcis-30252	70	22	,	,	PUNCT
fcis-30252	70	23	but	but	CCONJ
fcis-30252	70	24	is	be	AUX
fcis-30252	70	25	based	base	VERB
fcis-30252	70	26	on	on	ADP
fcis-30252	70	27	the	the	DET
fcis-30252	70	28	sorting	sort	VERB
fcis-30252	70	29	pattern	pattern	NOUN
fcis-30252	70	30	of	of	ADP
fcis-30252	70	31	the	the	DET
fcis-30252	70	32	data	datum	NOUN
fcis-30252	70	33	,	,	PUNCT
fcis-30252	70	34	so	so	SCONJ
fcis-30252	70	35	it	it	PRON
fcis-30252	70	36	has	have	VERB
fcis-30252	70	37	strong	strong	ADJ
fcis-30252	70	38	robustness	robustness	NOUN
fcis-30252	70	39	and	and	CCONJ
fcis-30252	70	40	can	can	AUX
fcis-30252	70	41	effectively	effectively	ADV
fcis-30252	70	42	deal	deal	VERB
fcis-30252	70	43	with	with	ADP
fcis-30252	70	44	the	the	DET
fcis-30252	70	45	interference	interference	NOUN
fcis-30252	70	46	of	of	ADP
fcis-30252	70	47	noise	noise	NOUN
fcis-30252	70	48	.	.	PUNCT
fcis-30252	71	1	based	base	VERB
fcis-30252	71	2	on	on	ADP
fcis-30252	71	3	this	this	PRON
fcis-30252	71	4	,	,	PUNCT
fcis-30252	71	5	the	the	DET
fcis-30252	71	6	alignment	alignment	NOUN
fcis-30252	71	7	entropy	entropy	NOUN
fcis-30252	71	8	can	can	AUX
fcis-30252	71	9	effectively	effectively	ADV
fcis-30252	71	10	measure	measure	VERB
fcis-30252	71	11	the	the	DET
fcis-30252	71	12	complexity	complexity	NOUN
fcis-30252	71	13	and	and	CCONJ
fcis-30252	71	14	regularity	regularity	NOUN
fcis-30252	71	15	of	of	ADP
fcis-30252	71	16	the	the	DET
fcis-30252	71	17	acoustic	acoustic	ADJ
fcis-30252	71	18	emission	emission	NOUN
fcis-30252	71	19	fault	fault	NOUN
fcis-30252	71	20	signal	signal	NOUN
fcis-30252	71	21	sequence	sequence	NOUN
fcis-30252	71	22	.	.	PUNCT
fcis-30252	72	1	the	the	DET
fcis-30252	72	2	value	value	NOUN
fcis-30252	72	3	of	of	ADP
fcis-30252	72	4	the	the	DET
fcis-30252	72	5	alignment	alignment	NOUN
fcis-30252	72	6	entropy	entropy	NOUN
fcis-30252	72	7	is	be	AUX
fcis-30252	72	8	calculated	calculate	VERB
fcis-30252	72	9	by	by	ADP
fcis-30252	72	10	the	the	DET
fcis-30252	72	11	following	follow	VERB
fcis-30252	72	12	formula	formula	NOUN
fcis-30252	72	13	:	:	PUNCT
fcis-30252	72	14	pe	pe	PROPN
fcis-30252	72	15	m	m	VERB
fcis-30252	72	16	∑	∑	NOUN
fcis-30252	72	17	p	p	NOUN
fcis-30252	72	18	logp	logp	NOUN
fcis-30252	72	19	(	(	PUNCT
fcis-30252	72	20	12	12	NUM
fcis-30252	72	21	)	)	PUNCT
fcis-30252	72	22	wherep	wherep	NOUN
fcis-30252	72	23	is	be	AUX
fcis-30252	72	24	the	the	DET
fcis-30252	72	25	probability	probability	NOUN
fcis-30252	72	26	of	of	ADP
fcis-30252	72	27	occurrence	occurrence	NOUN
fcis-30252	72	28	of	of	ADP
fcis-30252	72	29	the	the	DET
fcis-30252	72	30	first	first	ADJ
fcis-30252	72	31	i	i	NOUN
fcis-30252	72	32	sorting	sort	VERB
fcis-30252	72	33	pattern	pattern	NOUN
fcis-30252	72	34	andk	andk	NOUN
fcis-30252	72	35	is	be	AUX
fcis-30252	72	36	the	the	DET
fcis-30252	72	37	total	total	ADJ
fcis-30252	72	38	number	number	NOUN
fcis-30252	72	39	of	of	ADP
fcis-30252	72	40	sorting	sort	VERB
fcis-30252	72	41	patterns	pattern	NOUN
fcis-30252	72	42	.	.	PUNCT
fcis-30252	73	1	3	3	X
fcis-30252	73	2	.	.	X
fcis-30252	73	3	parameter	parameter	NOUN
fcis-30252	73	4	optimization	optimization	NOUN
fcis-30252	73	5	based	base	VERB
fcis-30252	73	6	on	on	ADP
fcis-30252	73	7	improved	improved	ADJ
fcis-30252	73	8	sparrow	sparrow	NOUN
fcis-30252	73	9	search	search	NOUN
fcis-30252	73	10	algorithm	algorithm	NOUN
fcis-30252	73	11	3.1	3.1	NUM
fcis-30252	73	12	.	.	PUNCT
fcis-30252	74	1	principle	principle	NOUN
fcis-30252	74	2	of	of	ADP
fcis-30252	74	3	sparrow	sparrow	ADJ
fcis-30252	74	4	algorithm	algorithm	PROPN
fcis-30252	74	5	sparrow	sparrow	PROPN
fcis-30252	74	6	search	search	NOUN
fcis-30252	74	7	algorithm	algorithm	NOUN
fcis-30252	74	8	(	(	PUNCT
fcis-30252	74	9	ssa	ssa	NOUN
fcis-30252	74	10	)	)	PUNCT
fcis-30252	74	11	is	be	AUX
fcis-30252	74	12	a	a	DET
fcis-30252	74	13	novel	novel	ADJ
fcis-30252	74	14	meta	meta	ADJ
fcis-30252	74	15	-	-	PUNCT
fcis-30252	74	16	heuristic	heuristic	ADJ
fcis-30252	74	17	optimization	optimization	NOUN
fcis-30252	74	18	algorithm	algorithm	NOUN
fcis-30252	74	19	proposed	propose	VERB
fcis-30252	74	20	in	in	ADP
fcis-30252	74	21	2020	2020	NUM
fcis-30252	74	22	,	,	PUNCT
fcis-30252	74	23	which	which	PRON
fcis-30252	74	24	is	be	AUX
fcis-30252	74	25	inspired	inspire	VERB
fcis-30252	74	26	by	by	ADP
fcis-30252	74	27	the	the	DET
fcis-30252	74	28	foraging	forage	VERB
fcis-30252	74	29	behavior	behavior	NOUN
fcis-30252	74	30	and	and	CCONJ
fcis-30252	74	31	anti	anti	ADJ
fcis-30252	74	32	-	-	ADJ
fcis-30252	74	33	predator	predator	ADJ
fcis-30252	74	34	strategy	strategy	NOUN
fcis-30252	74	35	of	of	ADP
fcis-30252	74	36	sparrows	sparrow	NOUN
fcis-30252	74	37	.	.	PUNCT
fcis-30252	75	1	the	the	DET
fcis-30252	75	2	algorithm	algorithm	NOUN
fcis-30252	75	3	has	have	AUX
fcis-30252	75	4	attracted	attract	VERB
fcis-30252	75	5	attention	attention	NOUN
fcis-30252	75	6	for	for	ADP
fcis-30252	75	7	its	its	PRON
fcis-30252	75	8	uniqueness	uniqueness	NOUN
fcis-30252	75	9	,	,	PUNCT
fcis-30252	75	10	powerful	powerful	ADJ
fcis-30252	75	11	optimization	optimization	NOUN
fcis-30252	75	12	capability	capability	NOUN
fcis-30252	75	13	,	,	PUNCT
fcis-30252	75	14	and	and	CCONJ
fcis-30252	75	15	fast	fast	ADJ
fcis-30252	75	16	convergence	convergence	NOUN
fcis-30252	75	17	speed	speed	NOUN
fcis-30252	75	18	,	,	PUNCT
fcis-30252	75	19	and	and	CCONJ
fcis-30252	75	20	its	its	PRON
fcis-30252	75	21	basic	basic	ADJ
fcis-30252	75	22	principle	principle	NOUN
fcis-30252	75	23	is	be	AUX
fcis-30252	75	24	as	as	SCONJ
fcis-30252	75	25	follows	follow	VERB
fcis-30252	75	26	:	:	PUNCT
fcis-30252	75	27	sparrow	sparrow	ADJ
fcis-30252	75	28	populations	population	NOUN
fcis-30252	75	29	are	be	AUX
fcis-30252	75	30	mainly	mainly	ADV
fcis-30252	75	31	composed	compose	VERB
fcis-30252	75	32	of	of	ADP
fcis-30252	75	33	three	three	NUM
fcis-30252	75	34	types	type	NOUN
fcis-30252	75	35	of	of	ADP
fcis-30252	75	36	individuals	individual	NOUN
fcis-30252	75	37	:	:	PUNCT
fcis-30252	75	38	discoverers	discoverer	NOUN
fcis-30252	75	39	,	,	PUNCT
fcis-30252	75	40	followers	follower	NOUN
fcis-30252	75	41	and	and	CCONJ
fcis-30252	75	42	scouts	scout	NOUN
fcis-30252	75	43	.	.	PUNCT
fcis-30252	76	1	discoverers	discoverer	NOUN
fcis-30252	76	2	are	be	AUX
fcis-30252	76	3	responsible	responsible	ADJ
fcis-30252	76	4	for	for	ADP
fcis-30252	76	5	leading	lead	VERB
fcis-30252	76	6	the	the	DET
fcis-30252	76	7	population	population	NOUN
fcis-30252	76	8	to	to	PART
fcis-30252	76	9	find	find	VERB
fcis-30252	76	10	suitable	suitable	ADJ
fcis-30252	76	11	foraging	forage	VERB
fcis-30252	76	12	areas	area	NOUN
fcis-30252	76	13	and	and	CCONJ
fcis-30252	76	14	directions	direction	NOUN
fcis-30252	76	15	;	;	PUNCT
fcis-30252	76	16	followers	follower	NOUN
fcis-30252	76	17	obtain	obtain	VERB
fcis-30252	76	18	food	food	NOUN
fcis-30252	76	19	based	base	VERB
fcis-30252	76	20	on	on	ADP
fcis-30252	76	21	the	the	DET
fcis-30252	76	22	information	information	NOUN
fcis-30252	76	23	provided	provide	VERB
fcis-30252	76	24	by	by	ADP
fcis-30252	76	25	the	the	DET
fcis-30252	76	26	discoverers	discoverer	NOUN
fcis-30252	76	27	;	;	PUNCT
fcis-30252	76	28	in	in	ADP
fcis-30252	76	29	order	order	NOUN
fcis-30252	76	30	to	to	PART
fcis-30252	76	31	maximize	maximize	VERB
fcis-30252	76	32	the	the	DET
fcis-30252	76	33	foraging	forage	VERB
fcis-30252	76	34	efficiency	efficiency	NOUN
fcis-30252	76	35	,	,	PUNCT
fcis-30252	76	36	the	the	DET
fcis-30252	76	37	roles	role	NOUN
fcis-30252	76	38	of	of	ADP
fcis-30252	76	39	discoverers	discoverer	NOUN
fcis-30252	76	40	and	and	CCONJ
fcis-30252	76	41	followers	follower	NOUN
fcis-30252	76	42	are	be	AUX
fcis-30252	76	43	dynamically	dynamically	ADV
fcis-30252	76	44	changed	change	VERB
fcis-30252	76	45	in	in	ADP
fcis-30252	76	46	the	the	DET
fcis-30252	76	47	algorithm[13	algorithm[13	NOUN
fcis-30252	76	48	]	]	PUNCT
fcis-30252	76	49	.	.	PUNCT
fcis-30252	77	1	3.2	3.2	NUM
fcis-30252	77	2	.	.	PUNCT
fcis-30252	78	1	messa	messa	NOUN
fcis-30252	78	2	(	(	PUNCT
fcis-30252	78	3	multi	multi	ADJ
fcis-30252	78	4	-	-	ADJ
fcis-30252	78	5	strategy	strategy	ADJ
fcis-30252	78	6	enhanced	enhance	VERB
fcis-30252	78	7	sparrow	sparrow	NOUN
fcis-30252	78	8	search	search	NOUN
fcis-30252	78	9	algorithm	algorithm	NOUN
fcis-30252	78	10	)	)	PUNCT
fcis-30252	78	11	sparrow	sparrow	NOUN
fcis-30252	78	12	search	search	NOUN
fcis-30252	78	13	algorithms	algorithm	NOUN
fcis-30252	78	14	perform	perform	VERB
fcis-30252	78	15	global	global	ADJ
fcis-30252	78	16	optimality	optimality	NOUN
fcis-30252	78	17	search	search	NOUN
fcis-30252	78	18	by	by	ADP
fcis-30252	78	19	simulating	simulate	VERB
fcis-30252	78	20	the	the	DET
fcis-30252	78	21	foraging	forage	VERB
fcis-30252	78	22	behavior	behavior	NOUN
fcis-30252	78	23	and	and	CCONJ
fcis-30252	78	24	danger	danger	NOUN
fcis-30252	78	25	perception	perception	NOUN
fcis-30252	78	26	mechanism	mechanism	NOUN
fcis-30252	78	27	of	of	ADP
fcis-30252	78	28	sparrows	sparrow	NOUN
fcis-30252	78	29	.	.	PUNCT
fcis-30252	79	1	however	however	ADV
fcis-30252	79	2	,	,	PUNCT
fcis-30252	79	3	the	the	DET
fcis-30252	79	4	traditional	traditional	ADJ
fcis-30252	79	5	ssa	ssa	NOUN
fcis-30252	79	6	suffers	suffer	VERB
fcis-30252	79	7	from	from	ADP
fcis-30252	79	8	the	the	DET
fcis-30252	79	9	problem	problem	NOUN
fcis-30252	79	10	of	of	ADP
fcis-30252	79	11	easy	easy	ADJ
fcis-30252	79	12	to	to	PART
fcis-30252	79	13	fall	fall	VERB
fcis-30252	79	14	into	into	ADP
fcis-30252	79	15	local	local	ADJ
fcis-30252	79	16	optimization	optimization	NOUN
fcis-30252	79	17	,	,	PUNCT
fcis-30252	79	18	especially	especially	ADV
fcis-30252	79	19	in	in	ADP
fcis-30252	79	20	the	the	DET
fcis-30252	79	21	case	case	NOUN
fcis-30252	79	22	of	of	ADP
fcis-30252	79	23	insufficient	insufficient	ADJ
fcis-30252	79	24	population	population	NOUN
fcis-30252	79	25	diversity	diversity	NOUN
fcis-30252	79	26	,	,	PUNCT
fcis-30252	79	27	the	the	DET
fcis-30252	79	28	global	global	ADJ
fcis-30252	79	29	search	search	NOUN
fcis-30252	79	30	ability	ability	NOUN
fcis-30252	79	31	of	of	ADP
fcis-30252	79	32	the	the	DET
fcis-30252	79	33	algorithm	algorithm	NOUN
fcis-30252	79	34	may	may	AUX
fcis-30252	79	35	be	be	AUX
fcis-30252	79	36	significantly	significantly	ADV
fcis-30252	79	37	reduced[14	reduced[14	VERB
fcis-30252	79	38	]	]	PUNCT
fcis-30252	79	39	.	.	PUNCT
fcis-30252	80	1	in	in	ADP
fcis-30252	80	2	order	order	NOUN
fcis-30252	80	3	to	to	PART
fcis-30252	80	4	improve	improve	VERB
fcis-30252	80	5	this	this	DET
fcis-30252	80	6	situation	situation	NOUN
fcis-30252	80	7	,	,	PUNCT
fcis-30252	80	8	this	this	DET
fcis-30252	80	9	paper	paper	NOUN
fcis-30252	80	10	utilizes	utilize	VERB
fcis-30252	80	11	various	various	ADJ
fcis-30252	80	12	enhancement	enhancement	NOUN
fcis-30252	80	13	strategies	strategy	NOUN
fcis-30252	80	14	to	to	PART
fcis-30252	80	15	improve	improve	VERB
fcis-30252	80	16	the	the	DET
fcis-30252	80	17	sparrow	sparrow	ADJ
fcis-30252	80	18	algorithm	algorithm	NOUN
fcis-30252	80	19	.	.	PUNCT
fcis-30252	81	1	3.2.1	3.2.1	X
fcis-30252	81	2	.	.	PUNCT
fcis-30252	81	3	population	population	NOUN
fcis-30252	81	4	diversity	diversity	NOUN
fcis-30252	81	5	optimization	optimization	NOUN
fcis-30252	81	6	initialization	initialization	NOUN
fcis-30252	81	7	based	base	VERB
fcis-30252	81	8	on	on	ADP
fcis-30252	81	9	euclidean	euclidean	ADJ
fcis-30252	81	10	distance	distance	NOUN
fcis-30252	81	11	the	the	DET
fcis-30252	81	12	optimization	optimization	NOUN
fcis-30252	81	13	performance	performance	NOUN
fcis-30252	81	14	of	of	ADP
fcis-30252	81	15	the	the	DET
fcis-30252	81	16	sparrow	sparrow	ADJ
fcis-30252	81	17	search	search	NOUN
fcis-30252	81	18	algorithm	algorithm	NOUN
fcis-30252	81	19	(	(	PUNCT
fcis-30252	81	20	ssa	ssa	NOUN
fcis-30252	81	21	)	)	PUNCT
fcis-30252	81	22	relies	rely	VERB
fcis-30252	81	23	on	on	ADP
fcis-30252	81	24	the	the	DET
fcis-30252	81	25	diversity	diversity	NOUN
fcis-30252	81	26	of	of	ADP
fcis-30252	81	27	the	the	DET
fcis-30252	81	28	populations	population	NOUN
fcis-30252	81	29	,	,	PUNCT
fcis-30252	81	30	especially	especially	ADV
fcis-30252	81	31	in	in	ADP
fcis-30252	81	32	the	the	DET
fcis-30252	81	33	distribution	distribution	NOUN
fcis-30252	81	34	stage	stage	NOUN
fcis-30252	81	35	of	of	ADP
fcis-30252	81	36	the	the	DET
fcis-30252	81	37	initial	initial	ADJ
fcis-30252	81	38	populations	population	NOUN
fcis-30252	81	39	.	.	PUNCT
fcis-30252	82	1	for	for	ADP
fcis-30252	82	2	this	this	DET
fcis-30252	82	3	reason	reason	NOUN
fcis-30252	82	4	,	,	PUNCT
fcis-30252	82	5	this	this	DET
fcis-30252	82	6	study	study	NOUN
fcis-30252	82	7	proposes	propose	VERB
fcis-30252	82	8	a	a	DET
fcis-30252	82	9	population	population	NOUN
fcis-30252	82	10	diversity	diversity	NOUN
fcis-30252	82	11	retention	retention	NOUN
fcis-30252	82	12	strategy	strategy	NOUN
fcis-30252	82	13	based	base	VERB
fcis-30252	82	14	on	on	ADP
fcis-30252	82	15	euclidean	euclidean	ADJ
fcis-30252	82	16	distance	distance	NOUN
fcis-30252	82	17	for	for	SCONJ
fcis-30252	82	18	ssa	ssa	NOUN
fcis-30252	82	19	to	to	PART
fcis-30252	82	20	enhance	enhance	VERB
fcis-30252	82	21	its	its	PRON
fcis-30252	82	22	global	global	ADJ
fcis-30252	82	23	search	search	NOUN
fcis-30252	82	24	capability	capability	NOUN
fcis-30252	82	25	and	and	CCONJ
fcis-30252	82	26	avoid	avoid	VERB
fcis-30252	82	27	falling	fall	VERB
fcis-30252	82	28	into	into	ADP
fcis-30252	82	29	premature	premature	ADJ
fcis-30252	82	30	convergence	convergence	NOUN
fcis-30252	82	31	.	.	PUNCT
fcis-30252	83	1	in	in	ADP
fcis-30252	83	2	the	the	DET
fcis-30252	83	3	original	original	ADJ
fcis-30252	83	4	ssa	ssa	NOUN
fcis-30252	83	5	,	,	PUNCT
fcis-30252	83	6	the	the	DET
fcis-30252	83	7	population	population	NOUN
fcis-30252	83	8	individuals	individual	NOUN
fcis-30252	83	9	are	be	AUX
fcis-30252	83	10	randomly	randomly	ADV
fcis-30252	83	11	initialized	initialize	VERB
fcis-30252	83	12	,	,	PUNCT
fcis-30252	83	13	which	which	PRON
fcis-30252	83	14	may	may	AUX
fcis-30252	83	15	lead	lead	VERB
fcis-30252	83	16	to	to	ADP
fcis-30252	83	17	too	too	ADV
fcis-30252	83	18	much	much	ADJ
fcis-30252	83	19	concentration	concentration	NOUN
fcis-30252	83	20	of	of	ADP
fcis-30252	83	21	individuals	individual	NOUN
fcis-30252	83	22	in	in	ADP
fcis-30252	83	23	the	the	DET
fcis-30252	83	24	solution	solution	NOUN
fcis-30252	83	25	space	space	NOUN
fcis-30252	83	26	and	and	CCONJ
fcis-30252	83	27	reduce	reduce	VERB
fcis-30252	83	28	the	the	DET
fcis-30252	83	29	exploration	exploration	NOUN
fcis-30252	83	30	efficiency	efficiency	NOUN
fcis-30252	83	31	of	of	ADP
fcis-30252	83	32	the	the	DET
fcis-30252	83	33	population	population	NOUN
fcis-30252	83	34	.	.	PUNCT
fcis-30252	84	1	to	to	PART
fcis-30252	84	2	solve	solve	VERB
fcis-30252	84	3	this	this	DET
fcis-30252	84	4	problem	problem	NOUN
fcis-30252	84	5	,	,	PUNCT
fcis-30252	84	6	this	this	DET
fcis-30252	84	7	study	study	NOUN
fcis-30252	84	8	introduces	introduce	VERB
fcis-30252	84	9	a	a	DET
fcis-30252	84	10	population	population	NOUN
fcis-30252	84	11	screening	screen	VERB
fcis-30252	84	12	mechanism	mechanism	NOUN
fcis-30252	84	13	based	base	VERB
fcis-30252	84	14	on	on	ADP
fcis-30252	84	15	euclidean	euclidean	ADJ
fcis-30252	84	16	distance	distance	NOUN
fcis-30252	84	17	,	,	PUNCT
fcis-30252	84	18	which	which	PRON
fcis-30252	84	19	calculates	calculate	VERB
fcis-30252	84	20	the	the	DET
fcis-30252	84	21	two	two	NUM
fcis-30252	84	22	-	-	PUNCT
fcis-30252	84	23	by	by	ADP
fcis-30252	84	24	-	-	PUNCT
fcis-30252	84	25	two	two	NUM
fcis-30252	84	26	distances	distance	NOUN
fcis-30252	84	27	of	of	ADP
fcis-30252	84	28	individuals	individual	NOUN
fcis-30252	84	29	in	in	ADP
fcis-30252	84	30	the	the	DET
fcis-30252	84	31	population	population	NOUN
fcis-30252	84	32	and	and	CCONJ
fcis-30252	84	33	excludes	exclude	VERB
fcis-30252	84	34	the	the	DET
fcis-30252	84	35	individuals	individual	NOUN
fcis-30252	84	36	whose	whose	DET
fcis-30252	84	37	distances	distance	NOUN
fcis-30252	84	38	are	be	AUX
fcis-30252	84	39	smaller	small	ADJ
fcis-30252	84	40	than	than	ADP
fcis-30252	84	41	a	a	DET
fcis-30252	84	42	set	set	NOUN
fcis-30252	84	43	thresholdδ	thresholdδ	NOUN
fcis-30252	84	44	,	,	PUNCT
fcis-30252	84	45	so	so	SCONJ
fcis-30252	84	46	as	as	SCONJ
fcis-30252	84	47	to	to	PART
fcis-30252	84	48	construct	construct	VERB
fcis-30252	84	49	a	a	DET
fcis-30252	84	50	uniformly	uniformly	ADV
fcis-30252	84	51	distributed	distribute	VERB
fcis-30252	84	52	population	population	NOUN
fcis-30252	84	53	in	in	ADP
fcis-30252	84	54	the	the	DET
fcis-30252	84	55	solution	solution	NOUN
fcis-30252	84	56	space	space	NOUN
fcis-30252	84	57	.	.	PUNCT
fcis-30252	85	1	the	the	DET
fcis-30252	85	2	euclidean	euclidean	ADJ
fcis-30252	85	3	distance	distance	NOUN
fcis-30252	85	4	is	be	AUX
fcis-30252	85	5	calculated	calculate	VERB
fcis-30252	85	6	as	as	ADP
fcis-30252	85	7	:	:	PUNCT
fcis-30252	85	8	d	d	NOUN
fcis-30252	85	9	x	x	X
fcis-30252	85	10	,	,	PUNCT
fcis-30252	85	11	x	x	X
fcis-30252	85	12	∑	∑	PUNCT
fcis-30252	85	13	x	x	SYM
fcis-30252	85	14	x	x	X
fcis-30252	85	15	(	(	PUNCT
fcis-30252	85	16	13	13	NUM
fcis-30252	85	17	)	)	PUNCT
fcis-30252	85	18	where	where	SCONJ
fcis-30252	85	19	x	x	PUNCT
fcis-30252	85	20	and	and	CCONJ
fcis-30252	85	21	x	x	NOUN
fcis-30252	85	22	are	be	AUX
fcis-30252	85	23	two	two	NUM
fcis-30252	85	24	individuals	individual	NOUN
fcis-30252	85	25	in	in	ADP
fcis-30252	85	26	the	the	DET
fcis-30252	85	27	sparrow	sparrow	ADJ
fcis-30252	85	28	population	population	NOUN
fcis-30252	85	29	and	and	CCONJ
fcis-30252	85	30	n	n	NOUN
fcis-30252	85	31	is	be	AUX
fcis-30252	85	32	the	the	DET
fcis-30252	85	33	problem	problem	NOUN
fcis-30252	85	34	dimension	dimension	NOUN
fcis-30252	85	35	.	.	PUNCT
fcis-30252	86	1	when	when	SCONJ
fcis-30252	86	2	the	the	DET
fcis-30252	86	3	distance	distance	NOUN
fcis-30252	86	4	between	between	ADP
fcis-30252	86	5	two	two	NUM
fcis-30252	86	6	individualsd	individualsd	NOUN
fcis-30252	86	7	x	x	X
fcis-30252	86	8	,	,	PUNCT
fcis-30252	86	9	x	x	PROPN
fcis-30252	86	10	δ	δ	PROPN
fcis-30252	86	11	,	,	PUNCT
fcis-30252	86	12	one	one	NUM
fcis-30252	86	13	of	of	ADP
fcis-30252	86	14	them	they	PRON
fcis-30252	86	15	is	be	AUX
fcis-30252	86	16	removed	remove	VERB
fcis-30252	86	17	to	to	PART
fcis-30252	86	18	ensure	ensure	VERB
fcis-30252	86	19	the	the	DET
fcis-30252	86	20	population	population	NOUN
fcis-30252	86	21	diversity	diversity	NOUN
fcis-30252	86	22	.	.	PUNCT
fcis-30252	87	1	through	through	ADP
fcis-30252	87	2	this	this	DET
fcis-30252	87	3	screening	screening	NOUN
fcis-30252	87	4	method	method	NOUN
fcis-30252	87	5	,	,	PUNCT
fcis-30252	87	6	the	the	DET
fcis-30252	87	7	solution	solution	NOUN
fcis-30252	87	8	space	space	NOUN
fcis-30252	87	9	coverage	coverage	NOUN
fcis-30252	87	10	ability	ability	NOUN
fcis-30252	87	11	of	of	ADP
fcis-30252	87	12	ssa	ssa	NOUN
fcis-30252	87	13	in	in	ADP
fcis-30252	87	14	the	the	DET
fcis-30252	87	15	initialization	initialization	NOUN
fcis-30252	87	16	stage	stage	NOUN
fcis-30252	87	17	can	can	AUX
fcis-30252	87	18	be	be	AUX
fcis-30252	87	19	significantly	significantly	ADV
fcis-30252	87	20	enhanced	enhance	VERB
fcis-30252	87	21	,	,	PUNCT
fcis-30252	87	22	laying	lay	VERB
fcis-30252	87	23	a	a	DET
fcis-30252	87	24	good	good	ADJ
fcis-30252	87	25	foundation	foundation	NOUN
fcis-30252	87	26	for	for	ADP
fcis-30252	87	27	the	the	DET
fcis-30252	87	28	subsequent	subsequent	ADJ
fcis-30252	87	29	optimization	optimization	NOUN
fcis-30252	87	30	process	process	NOUN
fcis-30252	87	31	.	.	PUNCT
fcis-30252	88	1	3.2.2	3.2.2	X
fcis-30252	88	2	.	.	PUNCT
fcis-30252	88	3	gaussian	gaussian	ADJ
fcis-30252	88	4	perturbation	perturbation	NOUN
fcis-30252	88	5	strategy	strategy	NOUN
fcis-30252	88	6	(	(	PUNCT
fcis-30252	88	7	improvement	improvement	NOUN
fcis-30252	88	8	of	of	ADP
fcis-30252	88	9	ssa	ssa	PROPN
fcis-30252	88	10	discoverer	discoverer	PROPN
fcis-30252	88	11	stage	stage	NOUN
fcis-30252	88	12	update	update	NOUN
fcis-30252	88	13	mechanism	mechanism	NOUN
fcis-30252	88	14	)	)	PUNCT
fcis-30252	88	15	in	in	ADP
fcis-30252	88	16	sparrow	sparrow	ADJ
fcis-30252	88	17	search	search	NOUN
fcis-30252	88	18	algorithm	algorithm	NOUN
fcis-30252	88	19	(	(	PUNCT
fcis-30252	88	20	ssa	ssa	PROPN
fcis-30252	88	21	)	)	PUNCT
fcis-30252	88	22	,	,	PUNCT
fcis-30252	88	23	the	the	DET
fcis-30252	88	24	individual	individual	ADJ
fcis-30252	88	25	discoverer	discoverer	NOUN
fcis-30252	88	26	is	be	AUX
fcis-30252	88	27	mainly	mainly	ADV
fcis-30252	88	28	responsible	responsible	ADJ
fcis-30252	88	29	for	for	ADP
fcis-30252	88	30	global	global	ADJ
fcis-30252	88	31	exploration[15	exploration[15	NOUN
fcis-30252	88	32	]	]	PUNCT
fcis-30252	88	33	.	.	PUNCT
fcis-30252	89	1	in	in	ADP
fcis-30252	89	2	order	order	NOUN
fcis-30252	89	3	to	to	PART
fcis-30252	89	4	improve	improve	VERB
fcis-30252	89	5	the	the	DET
fcis-30252	89	6	global	global	ADJ
fcis-30252	89	7	search	search	NOUN
fcis-30252	89	8	capability	capability	NOUN
fcis-30252	89	9	and	and	CCONJ
fcis-30252	89	10	avoid	avoid	VERB
fcis-30252	89	11	the	the	DET
fcis-30252	89	12	algorithm	algorithm	NOUN
fcis-30252	89	13	from	from	ADP
fcis-30252	89	14	falling	fall	VERB
fcis-30252	89	15	into	into	ADP
fcis-30252	89	16	local	local	ADJ
fcis-30252	89	17	optimum	optimum	NOUN
fcis-30252	89	18	,	,	PUNCT
fcis-30252	89	19	this	this	DET
fcis-30252	89	20	study	study	NOUN
fcis-30252	89	21	proposes	propose	VERB
fcis-30252	89	22	a	a	DET
fcis-30252	89	23	gaussian	gaussian	ADJ
fcis-30252	89	24	perturbation	perturbation	NOUN
fcis-30252	89	25	strategy	strategy	NOUN
fcis-30252	89	26	.	.	PUNCT
fcis-30252	90	1	this	this	DET
fcis-30252	90	2	strategy	strategy	NOUN
fcis-30252	90	3	enhances	enhance	VERB
fcis-30252	90	4	the	the	DET
fcis-30252	90	5	diversity	diversity	NOUN
fcis-30252	90	6	of	of	ADP
fcis-30252	90	7	search	search	NOUN
fcis-30252	90	8	behaviors	behavior	NOUN
fcis-30252	90	9	when	when	SCONJ
fcis-30252	90	10	updating	update	VERB
fcis-30252	90	11	discoverer	discover	ADJ
fcis-30252	90	12	individuals	individual	NOUN
fcis-30252	90	13	by	by	ADP
fcis-30252	90	14	introducing	introduce	VERB
fcis-30252	90	15	perturbations	perturbation	NOUN
fcis-30252	90	16	based	base	VERB
fcis-30252	90	17	on	on	ADP
fcis-30252	90	18	gaussian	gaussian	ADJ
fcis-30252	90	19	distributions	distribution	NOUN
fcis-30252	90	20	,	,	PUNCT
fcis-30252	90	21	and	and	CCONJ
fcis-30252	90	22	optimizes	optimize	VERB
fcis-30252	90	23	the	the	DET
fcis-30252	90	24	balance	balance	NOUN
fcis-30252	90	25	between	between	ADP
fcis-30252	90	26	exploration	exploration	NOUN
fcis-30252	90	27	and	and	CCONJ
fcis-30252	90	28	exploitation	exploitation	NOUN
fcis-30252	90	29	at	at	ADP
fcis-30252	90	30	different	different	ADJ
fcis-30252	90	31	stages	stage	NOUN
fcis-30252	90	32	by	by	ADP
fcis-30252	90	33	adaptively	adaptively	ADV
fcis-30252	90	34	adjusting	adjust	VERB
fcis-30252	90	35	the	the	DET
fcis-30252	90	36	magnitude	magnitude	NOUN
fcis-30252	90	37	of	of	ADP
fcis-30252	90	38	perturbations	perturbation	NOUN
fcis-30252	90	39	.	.	PUNCT
fcis-30252	91	1	the	the	DET
fcis-30252	91	2	probability	probability	NOUN
fcis-30252	91	3	density	density	NOUN
fcis-30252	91	4	function	function	NOUN
fcis-30252	91	5	of	of	ADP
fcis-30252	91	6	a	a	DET
fcis-30252	91	7	gaussian	gaussian	ADJ
fcis-30252	91	8	distribution	distribution	NOUN
fcis-30252	91	9	(	(	PUNCT
fcis-30252	91	10	also	also	ADV
fcis-30252	91	11	called	call	VERB
fcis-30252	91	12	normal	normal	ADJ
fcis-30252	91	13	distribution	distribution	NOUN
fcis-30252	91	14	)	)	PUNCT
fcis-30252	91	15	is	be	AUX
fcis-30252	91	16	.	.	PUNCT
fcis-30252	92	1	f	f	X
fcis-30252	92	2	x	x	PUNCT
fcis-30252	92	3	√	√	NUM
fcis-30252	92	4	e	e	X
fcis-30252	92	5	(	(	PUNCT
fcis-30252	92	6	14	14	NUM
fcis-30252	92	7	)	)	PUNCT
fcis-30252	92	8	142	142	NUM
fcis-30252	92	9	whereμ	whereμ	NOUN
fcis-30252	92	10	is	be	AUX
fcis-30252	92	11	the	the	DET
fcis-30252	92	12	mean	mean	ADJ
fcis-30252	92	13	andσ	andσ	NOUN
fcis-30252	92	14	is	be	AUX
fcis-30252	92	15	the	the	DET
fcis-30252	92	16	standard	standard	ADJ
fcis-30252	92	17	deviation	deviation	NOUN
fcis-30252	92	18	.	.	PUNCT
fcis-30252	93	1	this	this	DET
fcis-30252	93	2	distribution	distribution	NOUN
fcis-30252	93	3	is	be	AUX
fcis-30252	93	4	widely	widely	ADV
fcis-30252	93	5	used	use	VERB
fcis-30252	93	6	in	in	ADP
fcis-30252	93	7	nature	nature	NOUN
fcis-30252	93	8	.	.	PUNCT
fcis-30252	94	1	while	while	SCONJ
fcis-30252	94	2	the	the	DET
fcis-30252	94	3	traditional	traditional	ADJ
fcis-30252	94	4	updating	updating	NOUN
fcis-30252	94	5	approach	approach	NOUN
fcis-30252	94	6	in	in	ADP
fcis-30252	94	7	the	the	DET
fcis-30252	94	8	discoverer	discoverer	ADJ
fcis-30252	94	9	phase	phase	NOUN
fcis-30252	94	10	relies	rely	VERB
fcis-30252	94	11	only	only	ADV
fcis-30252	94	12	on	on	ADP
fcis-30252	94	13	the	the	DET
fcis-30252	94	14	local	local	ADJ
fcis-30252	94	15	information	information	NOUN
fcis-30252	94	16	of	of	ADP
fcis-30252	94	17	the	the	DET
fcis-30252	94	18	current	current	ADJ
fcis-30252	94	19	solution	solution	NOUN
fcis-30252	94	20	,	,	PUNCT
fcis-30252	94	21	the	the	DET
fcis-30252	94	22	gaussian	gaussian	ADJ
fcis-30252	94	23	perturbation	perturbation	NOUN
fcis-30252	94	24	strategy	strategy	NOUN
fcis-30252	94	25	breaks	break	VERB
fcis-30252	94	26	the	the	DET
fcis-30252	94	27	existing	exist	VERB
fcis-30252	94	28	local	local	ADJ
fcis-30252	94	29	optimum	optimum	NOUN
fcis-30252	94	30	by	by	ADP
fcis-30252	94	31	introducing	introduce	VERB
fcis-30252	94	32	random	random	ADJ
fcis-30252	94	33	noise	noise	NOUN
fcis-30252	94	34	to	to	PART
fcis-30252	94	35	simulate	simulate	VERB
fcis-30252	94	36	more	more	ADV
fcis-30252	94	37	diverse	diverse	ADJ
fcis-30252	94	38	search	search	NOUN
fcis-30252	94	39	behaviors	behavior	NOUN
fcis-30252	94	40	and	and	CCONJ
fcis-30252	94	41	enhance	enhance	VERB
fcis-30252	94	42	the	the	DET
fcis-30252	94	43	global	global	ADJ
fcis-30252	94	44	exploration	exploration	NOUN
fcis-30252	94	45	capability	capability	NOUN
fcis-30252	94	46	.	.	PUNCT
fcis-30252	95	1	the	the	DET
fcis-30252	95	2	gaussian	gaussian	ADJ
fcis-30252	95	3	perturbation	perturbation	NOUN
fcis-30252	95	4	amplitude	amplitude	NOUN
fcis-30252	95	5	is	be	AUX
fcis-30252	95	6	dynamically	dynamically	ADV
fcis-30252	95	7	adjusted	adjust	VERB
fcis-30252	95	8	with	with	ADP
fcis-30252	95	9	iterations	iteration	NOUN
fcis-30252	95	10	,	,	PUNCT
fcis-30252	95	11	using	use	VERB
fcis-30252	95	12	a	a	DET
fcis-30252	95	13	larger	large	ADJ
fcis-30252	95	14	perturbation	perturbation	NOUN
fcis-30252	95	15	amplitude	amplitude	NOUN
fcis-30252	95	16	at	at	ADP
fcis-30252	95	17	the	the	DET
fcis-30252	95	18	beginning	beginning	NOUN
fcis-30252	95	19	of	of	ADP
fcis-30252	95	20	the	the	DET
fcis-30252	95	21	search	search	NOUN
fcis-30252	95	22	for	for	ADP
fcis-30252	95	23	extensive	extensive	ADJ
fcis-30252	95	24	search	search	NOUN
fcis-30252	95	25	,	,	PUNCT
fcis-30252	95	26	and	and	CCONJ
fcis-30252	95	27	a	a	DET
fcis-30252	95	28	smaller	small	ADJ
fcis-30252	95	29	perturbation	perturbation	NOUN
fcis-30252	95	30	amplitude	amplitude	NOUN
fcis-30252	95	31	at	at	ADP
fcis-30252	95	32	the	the	DET
fcis-30252	95	33	later	later	ADJ
fcis-30252	95	34	stages	stage	NOUN
fcis-30252	95	35	of	of	ADP
fcis-30252	95	36	the	the	DET
fcis-30252	95	37	algorithm	algorithm	NOUN
fcis-30252	95	38	to	to	PART
fcis-30252	95	39	refine	refine	VERB
fcis-30252	95	40	the	the	DET
fcis-30252	95	41	search	search	NOUN
fcis-30252	95	42	and	and	CCONJ
fcis-30252	95	43	enhance	enhance	VERB
fcis-30252	95	44	the	the	DET
fcis-30252	95	45	local	local	ADJ
fcis-30252	95	46	search	search	NOUN
fcis-30252	95	47	capability	capability	NOUN
fcis-30252	95	48	.	.	PUNCT
fcis-30252	96	1	in	in	ADP
fcis-30252	96	2	the	the	DET
fcis-30252	96	3	improved	improved	ADJ
fcis-30252	96	4	gaussian	gaussian	ADJ
fcis-30252	96	5	perturbation	perturbation	NOUN
fcis-30252	96	6	strategy	strategy	NOUN
fcis-30252	96	7	,	,	PUNCT
fcis-30252	96	8	a	a	DET
fcis-30252	96	9	gaussian	gaussian	ADJ
fcis-30252	96	10	distributed	distribute	VERB
fcis-30252	96	11	perturbation	perturbation	NOUN
fcis-30252	96	12	term	term	NOUN
fcis-30252	96	13	is	be	AUX
fcis-30252	96	14	introduced	introduce	VERB
fcis-30252	96	15	to	to	PART
fcis-30252	96	16	replace	replace	VERB
fcis-30252	96	17	the	the	DET
fcis-30252	96	18	individual	individual	ADJ
fcis-30252	96	19	discoverer	discoverer	NOUN
fcis-30252	96	20	's	's	PART
fcis-30252	96	21	position	position	NOUN
fcis-30252	96	22	update	update	NOUN
fcis-30252	96	23	method	method	NOUN
fcis-30252	96	24	:	:	PUNCT
fcis-30252	96	25	m	m	VERB
fcis-30252	96	26	ax1	ax1	ADV
fcis-30252	96	27	0	0	NUM
fcis-30252	97	1	m	m	VERB
fcis-30252	97	2	ax	ax	NOUN
fcis-30252	97	3	(	(	PUNCT
fcis-30252	97	4	0	0	NUM
fcis-30252	97	5	,	,	PUNCT
fcis-30252	97	6	1	1	NUM
fcis-30252	97	7	)	)	PUNCT
fcis-30252	97	8	1	1	NUM
fcis-30252	97	9	(	(	PUNCT
fcis-30252	97	10	0	0	NUM
fcis-30252	97	11	,	,	PUNCT
fcis-30252	97	12	1	1	NUM
fcis-30252	97	13	)	)	PUNCT
fcis-30252	97	14	t	t	NOUN
fcis-30252	98	1	tt	tt	PROPN
fcis-30252	99	1	t	t	NOUN
fcis-30252	100	1	i	i	PRON
fcis-30252	101	1	i	i	PRON
fcis-30252	101	2	t	t	VERB
fcis-30252	101	3	x	x	PUNCT
fcis-30252	101	4	x	x	SYM
fcis-30252	101	5	e	e	NOUN
fcis-30252	101	6	n	n	CCONJ
fcis-30252	101	7	g	g	PROPN
fcis-30252	101	8	t	t	PROPN
fcis-30252	101	9			NUM
fcis-30252	101	10			PROPN
fcis-30252	101	11			PROPN
fcis-30252	101	12			VERB
fcis-30252	101	13			NOUN
fcis-30252	101	14			NOUN
fcis-30252	101	15			PROPN
fcis-30252	101	16			PROPN
fcis-30252	102	1			PUNCT
fcis-30252	102	2			NUM
fcis-30252	102	3			PUNCT
fcis-30252	102	4			PROPN
fcis-30252	102	5			NUM
fcis-30252	102	6			PROPN
fcis-30252	102	7			PROPN
fcis-30252	102	8			NOUN
fcis-30252	102	9	(	(	PUNCT
fcis-30252	102	10	15	15	NUM
fcis-30252	102	11	)	)	PUNCT
fcis-30252	102	12	n	n	PRON
fcis-30252	102	13	0	0	NUM
fcis-30252	102	14	,	,	PUNCT
fcis-30252	102	15	σ	σ	PROPN
fcis-30252	102	16	denotes	denote	VERB
fcis-30252	102	17	a	a	DET
fcis-30252	102	18	standard	standard	ADJ
fcis-30252	102	19	gaussian	gaussian	ADJ
fcis-30252	102	20	distribution	distribution	NOUN
fcis-30252	102	21	(	(	PUNCT
fcis-30252	102	22	mean	mean	NOUN
fcis-30252	102	23	0	0	NUM
fcis-30252	102	24	,	,	PUNCT
fcis-30252	102	25	standard	standard	ADJ
fcis-30252	102	26	deviationσ	deviationσ	NOUN
fcis-30252	102	27	of	of	ADP
fcis-30252	102	28	the	the	DET
fcis-30252	102	29	perturbation	perturbation	NOUN
fcis-30252	102	30	.	.	PUNCT
fcis-30252	103	1	x	x	PRON
fcis-30252	103	2	is	be	AUX
fcis-30252	103	3	the	the	DET
fcis-30252	103	4	current	current	ADJ
fcis-30252	103	5	global	global	ADJ
fcis-30252	103	6	optimal	optimal	ADJ
fcis-30252	103	7	solution	solution	NOUN
fcis-30252	103	8	andx	andx	PRON
fcis-30252	103	9	is	be	AUX
fcis-30252	103	10	the	the	DET
fcis-30252	103	11	current	current	ADJ
fcis-30252	103	12	worst	bad	ADJ
fcis-30252	103	13	solution	solution	NOUN
fcis-30252	103	14	.	.	PUNCT
fcis-30252	104	1	in	in	ADP
fcis-30252	104	2	the	the	DET
fcis-30252	104	3	early	early	ADJ
fcis-30252	104	4	stages	stage	NOUN
fcis-30252	104	5	of	of	ADP
fcis-30252	104	6	the	the	DET
fcis-30252	104	7	algorithm	algorithm	NOUN
fcis-30252	104	8	(	(	PUNCT
fcis-30252	104	9	when	when	SCONJ
fcis-30252	104	10	the	the	DET
fcis-30252	104	11	number	number	NOUN
fcis-30252	104	12	of	of	ADP
fcis-30252	104	13	iterations	iteration	NOUN
fcis-30252	104	14	is	be	AUX
fcis-30252	104	15	low	low	ADJ
fcis-30252	104	16	)	)	PUNCT
fcis-30252	104	17	,	,	PUNCT
fcis-30252	104	18	the	the	DET
fcis-30252	104	19	perturbation	perturbation	NOUN
fcis-30252	104	20	magnitude	magnitude	NOUN
fcis-30252	104	21	is	be	AUX
fcis-30252	104	22	large	large	ADJ
fcis-30252	104	23	,	,	PUNCT
fcis-30252	104	24	allowing	allow	VERB
fcis-30252	104	25	the	the	DET
fcis-30252	104	26	individual	individual	ADJ
fcis-30252	104	27	discoverer	discoverer	NOUN
fcis-30252	104	28	to	to	PART
fcis-30252	104	29	explore	explore	VERB
fcis-30252	104	30	the	the	DET
fcis-30252	104	31	solution	solution	NOUN
fcis-30252	104	32	space	space	NOUN
fcis-30252	104	33	extensively	extensively	ADV
fcis-30252	104	34	.	.	PUNCT
fcis-30252	105	1	as	as	SCONJ
fcis-30252	105	2	the	the	DET
fcis-30252	105	3	number	number	NOUN
fcis-30252	105	4	of	of	ADP
fcis-30252	105	5	iterations	iteration	NOUN
fcis-30252	105	6	increases	increase	NOUN
fcis-30252	105	7	(	(	PUNCT
fcis-30252	105	8	i.e.	i.e.	X
fcis-30252	105	9	,	,	PUNCT
fcis-30252	105	10	the	the	DET
fcis-30252	105	11	search	search	NOUN
fcis-30252	105	12	enters	enter	VERB
fcis-30252	105	13	a	a	DET
fcis-30252	105	14	later	later	ADJ
fcis-30252	105	15	stage	stage	NOUN
fcis-30252	105	16	)	)	PUNCT
fcis-30252	105	17	,	,	PUNCT
fcis-30252	105	18	the	the	DET
fcis-30252	105	19	magnitude	magnitude	NOUN
fcis-30252	105	20	of	of	ADP
fcis-30252	105	21	the	the	DET
fcis-30252	105	22	perturbation	perturbation	NOUN
fcis-30252	105	23	decreases	decrease	VERB
fcis-30252	105	24	,	,	PUNCT
fcis-30252	105	25	allowing	allow	VERB
fcis-30252	105	26	the	the	DET
fcis-30252	105	27	search	search	NOUN
fcis-30252	105	28	to	to	PART
fcis-30252	105	29	converge	converge	VERB
fcis-30252	105	30	to	to	ADP
fcis-30252	105	31	a	a	DET
fcis-30252	105	32	locally	locally	ADV
fcis-30252	105	33	optimal	optimal	ADJ
fcis-30252	105	34	solution	solution	NOUN
fcis-30252	105	35	and	and	CCONJ
fcis-30252	105	36	enhancing	enhance	VERB
fcis-30252	105	37	the	the	DET
fcis-30252	105	38	fine	fine	ADJ
fcis-30252	105	39	development	development	NOUN
fcis-30252	105	40	capability	capability	NOUN
fcis-30252	105	41	.	.	PUNCT
fcis-30252	106	1	specifically	specifically	ADV
fcis-30252	106	2	,	,	PUNCT
fcis-30252	106	3	the	the	DET
fcis-30252	106	4	perturbation	perturbation	NOUN
fcis-30252	106	5	magnitudeσ	magnitudeσ	NOUN
fcis-30252	106	6	is	be	AUX
fcis-30252	106	7	adjusted	adjust	VERB
fcis-30252	106	8	with	with	ADP
fcis-30252	106	9	the	the	DET
fcis-30252	106	10	number	number	NOUN
fcis-30252	106	11	of	of	ADP
fcis-30252	106	12	iterations	iteration	NOUN
fcis-30252	106	13	as	as	SCONJ
fcis-30252	106	14	follows	follow	VERB
fcis-30252	106	15	:	:	PUNCT
fcis-30252	106	16	σ	σ	PROPN
fcis-30252	106	17	σ	σ	PROPN
fcis-30252	106	18	⋅	⋅	PROPN
fcis-30252	106	19	1	1	NUM
fcis-30252	106	20	(	(	PUNCT
fcis-30252	106	21	16	16	NUM
fcis-30252	106	22	)	)	PUNCT
fcis-30252	106	23	whereσ	whereσ	NOUN
fcis-30252	106	24	is	be	AUX
fcis-30252	106	25	the	the	DET
fcis-30252	106	26	initial	initial	ADJ
fcis-30252	106	27	perturbation	perturbation	NOUN
fcis-30252	106	28	amplitude	amplitude	NOUN
fcis-30252	106	29	,	,	PUNCT
fcis-30252	106	30	max_iter	max_iter	NOUN
fcis-30252	106	31	is	be	AUX
fcis-30252	106	32	the	the	DET
fcis-30252	106	33	maximum	maximum	ADJ
fcis-30252	106	34	number	number	NOUN
fcis-30252	106	35	of	of	ADP
fcis-30252	106	36	iterations	iteration	NOUN
fcis-30252	106	37	,	,	PUNCT
fcis-30252	106	38	and	and	CCONJ
fcis-30252	106	39	σ	σ	PROPN
fcis-30252	106	40	is	be	AUX
fcis-30252	106	41	the	the	DET
fcis-30252	106	42	perturbation	perturbation	NOUN
fcis-30252	106	43	amplitude	amplitude	NOUN
fcis-30252	106	44	of	of	ADP
fcis-30252	106	45	the	the	DET
fcis-30252	106	46	current	current	ADJ
fcis-30252	106	47	iteration	iteration	NOUN
fcis-30252	106	48	.	.	PUNCT
fcis-30252	107	1	3.2.3	3.2.3	X
fcis-30252	107	2	.	.	PUNCT
fcis-30252	107	3	adaptation	adaptation	NOUN
fcis-30252	107	4	difference	difference	NOUN
fcis-30252	107	5	bootstrap	bootstrap	NOUN
fcis-30252	107	6	strategy	strategy	NOUN
fcis-30252	107	7	based	base	VERB
fcis-30252	107	8	on	on	ADP
fcis-30252	107	9	global	global	ADJ
fcis-30252	107	10	optimum	optimum	NOUN
fcis-30252	107	11	the	the	DET
fcis-30252	107	12	main	main	ADJ
fcis-30252	107	13	goal	goal	NOUN
fcis-30252	107	14	of	of	ADP
fcis-30252	107	15	the	the	DET
fcis-30252	107	16	joiner	joiner	NOUN
fcis-30252	107	17	phase	phase	NOUN
fcis-30252	107	18	is	be	AUX
fcis-30252	107	19	to	to	PART
fcis-30252	107	20	exploit	exploit	VERB
fcis-30252	107	21	potential	potential	ADJ
fcis-30252	107	22	search	search	NOUN
fcis-30252	107	23	regions	region	NOUN
fcis-30252	107	24	.	.	PUNCT
fcis-30252	108	1	however	however	ADV
fcis-30252	108	2	,	,	PUNCT
fcis-30252	108	3	the	the	DET
fcis-30252	108	4	updating	update	VERB
fcis-30252	108	5	strategy	strategy	NOUN
fcis-30252	108	6	of	of	ADP
fcis-30252	108	7	traditional	traditional	ADJ
fcis-30252	108	8	sparrow	sparrow	ADJ
fcis-30252	108	9	algorithm	algorithm	NOUN
fcis-30252	108	10	joiner	joiner	NOUN
fcis-30252	108	11	relies	rely	VERB
fcis-30252	108	12	more	more	ADJ
fcis-30252	108	13	on	on	ADP
fcis-30252	108	14	local	local	ADJ
fcis-30252	108	15	information	information	NOUN
fcis-30252	108	16	(	(	PUNCT
fcis-30252	108	17	e.g.	e.g.	ADV
fcis-30252	108	18	,	,	PUNCT
fcis-30252	108	19	the	the	DET
fcis-30252	108	20	location	location	NOUN
fcis-30252	108	21	of	of	ADP
fcis-30252	108	22	the	the	DET
fcis-30252	108	23	optimal	optimal	ADJ
fcis-30252	108	24	solution	solution	NOUN
fcis-30252	108	25	)	)	PUNCT
fcis-30252	108	26	,	,	PUNCT
fcis-30252	108	27	and	and	CCONJ
fcis-30252	108	28	the	the	DET
fcis-30252	108	29	joiner	joiner	NOUN
fcis-30252	108	30	updating	update	VERB
fcis-30252	108	31	strategy	strategy	NOUN
fcis-30252	108	32	does	do	AUX
fcis-30252	108	33	not	not	PART
fcis-30252	108	34	make	make	VERB
fcis-30252	108	35	enough	enough	ADJ
fcis-30252	108	36	use	use	NOUN
fcis-30252	108	37	of	of	ADP
fcis-30252	108	38	the	the	DET
fcis-30252	108	39	global	global	ADJ
fcis-30252	108	40	optimal	optimal	ADJ
fcis-30252	108	41	solution	solution	NOUN
fcis-30252	108	42	,	,	PUNCT
fcis-30252	108	43	which	which	PRON
fcis-30252	108	44	leads	lead	VERB
fcis-30252	108	45	to	to	ADP
fcis-30252	108	46	the	the	DET
fcis-30252	108	47	limitation	limitation	NOUN
fcis-30252	108	48	of	of	ADP
fcis-30252	108	49	its	its	PRON
fcis-30252	108	50	exploitation	exploitation	NOUN
fcis-30252	108	51	ability	ability	NOUN
fcis-30252	108	52	.	.	PUNCT
fcis-30252	109	1	in	in	ADP
fcis-30252	109	2	this	this	DET
fcis-30252	109	3	study	study	NOUN
fcis-30252	109	4	,	,	PUNCT
fcis-30252	109	5	we	we	PRON
fcis-30252	109	6	propose	propose	VERB
fcis-30252	109	7	an	an	DET
fcis-30252	109	8	adaptation	adaptation	NOUN
fcis-30252	109	9	difference	difference	NOUN
fcis-30252	109	10	guidance	guidance	NOUN
fcis-30252	109	11	strategy	strategy	NOUN
fcis-30252	109	12	based	base	VERB
fcis-30252	109	13	on	on	ADP
fcis-30252	109	14	the	the	DET
fcis-30252	109	15	global	global	ADJ
fcis-30252	109	16	optimum	optimum	NOUN
fcis-30252	109	17	to	to	PART
fcis-30252	109	18	enhance	enhance	VERB
fcis-30252	109	19	the	the	DET
fcis-30252	109	20	convergence	convergence	NOUN
fcis-30252	109	21	speed	speed	NOUN
fcis-30252	109	22	and	and	CCONJ
fcis-30252	109	23	exploitation	exploitation	NOUN
fcis-30252	109	24	capability	capability	NOUN
fcis-30252	109	25	of	of	ADP
fcis-30252	109	26	the	the	DET
fcis-30252	109	27	algorithm	algorithm	NOUN
fcis-30252	109	28	by	by	ADP
fcis-30252	109	29	strengthening	strengthen	VERB
fcis-30252	109	30	the	the	DET
fcis-30252	109	31	influence	influence	NOUN
fcis-30252	109	32	of	of	ADP
fcis-30252	109	33	the	the	DET
fcis-30252	109	34	global	global	ADJ
fcis-30252	109	35	optimal	optimal	ADJ
fcis-30252	109	36	solution	solution	NOUN
fcis-30252	109	37	.	.	PUNCT
fcis-30252	110	1	when	when	SCONJ
fcis-30252	110	2	the	the	DET
fcis-30252	110	3	difference	difference	NOUN
fcis-30252	110	4	between	between	ADP
fcis-30252	110	5	an	an	DET
fcis-30252	110	6	individual	individual	NOUN
fcis-30252	110	7	's	's	PART
fcis-30252	110	8	fitness	fitness	NOUN
fcis-30252	110	9	and	and	CCONJ
fcis-30252	110	10	the	the	DET
fcis-30252	110	11	global	global	ADJ
fcis-30252	110	12	optimal	optimal	ADJ
fcis-30252	110	13	solution	solution	NOUN
fcis-30252	110	14	is	be	AUX
fcis-30252	110	15	large	large	ADJ
fcis-30252	110	16	,	,	PUNCT
fcis-30252	110	17	the	the	DET
fcis-30252	110	18	joiner	joiner	NOUN
fcis-30252	110	19	will	will	AUX
fcis-30252	110	20	move	move	VERB
fcis-30252	110	21	more	more	ADV
fcis-30252	110	22	substantially	substantially	ADV
fcis-30252	110	23	in	in	ADP
fcis-30252	110	24	the	the	DET
fcis-30252	110	25	direction	direction	NOUN
fcis-30252	110	26	of	of	ADP
fcis-30252	110	27	the	the	DET
fcis-30252	110	28	global	global	ADJ
fcis-30252	110	29	optimal	optimal	ADJ
fcis-30252	110	30	solution	solution	NOUN
fcis-30252	110	31	,	,	PUNCT
fcis-30252	110	32	thus	thus	ADV
fcis-30252	110	33	accelerating	accelerate	VERB
fcis-30252	110	34	the	the	DET
fcis-30252	110	35	search	search	NOUN
fcis-30252	110	36	process	process	NOUN
fcis-30252	110	37	.	.	PUNCT
fcis-30252	111	1	in	in	ADP
fcis-30252	111	2	the	the	DET
fcis-30252	111	3	early	early	ADJ
fcis-30252	111	4	stages	stage	NOUN
fcis-30252	111	5	of	of	ADP
fcis-30252	111	6	the	the	DET
fcis-30252	111	7	algorithm	algorithm	NOUN
fcis-30252	111	8	(	(	PUNCT
fcis-30252	111	9	when	when	SCONJ
fcis-30252	111	10	the	the	DET
fcis-30252	111	11	number	number	NOUN
fcis-30252	111	12	of	of	ADP
fcis-30252	111	13	iterations	iteration	NOUN
fcis-30252	111	14	is	be	AUX
fcis-30252	111	15	small	small	ADJ
fcis-30252	111	16	)	)	PUNCT
fcis-30252	111	17	,	,	PUNCT
fcis-30252	111	18	the	the	DET
fcis-30252	111	19	larger	large	ADJ
fcis-30252	111	20	difference	difference	NOUN
fcis-30252	111	21	in	in	ADP
fcis-30252	111	22	fitness	fitness	NOUN
fcis-30252	111	23	guides	guide	NOUN
fcis-30252	111	24	the	the	DET
fcis-30252	111	25	individuals	individual	NOUN
fcis-30252	111	26	to	to	PART
fcis-30252	111	27	explore	explore	VERB
fcis-30252	111	28	the	the	DET
fcis-30252	111	29	solution	solution	NOUN
fcis-30252	111	30	space	space	NOUN
fcis-30252	111	31	extensively	extensively	ADV
fcis-30252	111	32	,	,	PUNCT
fcis-30252	111	33	which	which	PRON
fcis-30252	111	34	enhances	enhance	VERB
fcis-30252	111	35	the	the	DET
fcis-30252	111	36	global	global	ADJ
fcis-30252	111	37	search	search	NOUN
fcis-30252	111	38	capability	capability	NOUN
fcis-30252	111	39	.	.	PUNCT
fcis-30252	112	1	and	and	CCONJ
fcis-30252	112	2	as	as	ADP
fcis-30252	112	3	the	the	DET
fcis-30252	112	4	number	number	NOUN
fcis-30252	112	5	of	of	ADP
fcis-30252	112	6	iterations	iteration	NOUN
fcis-30252	112	7	increases	increase	NOUN
fcis-30252	112	8	(	(	PUNCT
fcis-30252	112	9	i.e.	i.e.	X
fcis-30252	112	10	,	,	PUNCT
fcis-30252	112	11	entering	enter	VERB
fcis-30252	112	12	the	the	DET
fcis-30252	112	13	later	later	ADJ
fcis-30252	112	14	stages	stage	NOUN
fcis-30252	112	15	of	of	ADP
fcis-30252	112	16	search	search	NOUN
fcis-30252	112	17	)	)	PUNCT
fcis-30252	112	18	,	,	PUNCT
fcis-30252	112	19	the	the	DET
fcis-30252	112	20	fitness	fitness	NOUN
fcis-30252	112	21	difference	difference	NOUN
fcis-30252	112	22	gradually	gradually	ADV
fcis-30252	112	23	decreases	decrease	VERB
fcis-30252	112	24	and	and	CCONJ
fcis-30252	112	25	the	the	DET
fcis-30252	112	26	step	step	NOUN
fcis-30252	112	27	size	size	NOUN
fcis-30252	112	28	shrinks	shrink	VERB
fcis-30252	112	29	accordingly	accordingly	ADV
fcis-30252	112	30	,	,	PUNCT
fcis-30252	112	31	which	which	PRON
fcis-30252	112	32	makes	make	VERB
fcis-30252	112	33	the	the	DET
fcis-30252	112	34	individual	individual	ADJ
fcis-30252	112	35	search	search	NOUN
fcis-30252	112	36	gradually	gradually	ADV
fcis-30252	112	37	converge	converge	VERB
fcis-30252	112	38	to	to	ADP
fcis-30252	112	39	the	the	DET
fcis-30252	112	40	global	global	ADJ
fcis-30252	112	41	optimal	optimal	ADJ
fcis-30252	112	42	solution	solution	NOUN
fcis-30252	112	43	and	and	CCONJ
fcis-30252	112	44	improves	improve	VERB
fcis-30252	112	45	the	the	DET
fcis-30252	112	46	fineness	fineness	NOUN
fcis-30252	112	47	of	of	ADP
fcis-30252	112	48	local	local	ADJ
fcis-30252	112	49	exploitation	exploitation	NOUN
fcis-30252	112	50	.	.	PUNCT
fcis-30252	113	1	this	this	DET
fcis-30252	113	2	strategy	strategy	NOUN
fcis-30252	113	3	effectively	effectively	ADV
fcis-30252	113	4	balances	balance	VERB
fcis-30252	113	5	the	the	DET
fcis-30252	113	6	ability	ability	NOUN
fcis-30252	113	7	of	of	ADP
fcis-30252	113	8	global	global	ADJ
fcis-30252	113	9	exploration	exploration	NOUN
fcis-30252	113	10	and	and	CCONJ
fcis-30252	113	11	local	local	ADJ
fcis-30252	113	12	exploitation	exploitation	NOUN
fcis-30252	113	13	,	,	PUNCT
fcis-30252	113	14	which	which	PRON
fcis-30252	113	15	helps	help	VERB
fcis-30252	113	16	the	the	DET
fcis-30252	113	17	algorithm	algorithm	NOUN
fcis-30252	113	18	accelerate	accelerate	VERB
fcis-30252	113	19	convergence	convergence	NOUN
fcis-30252	113	20	near	near	ADP
fcis-30252	113	21	the	the	DET
fcis-30252	113	22	global	global	ADJ
fcis-30252	113	23	optimal	optimal	ADJ
fcis-30252	113	24	solution	solution	NOUN
fcis-30252	113	25	and	and	CCONJ
fcis-30252	113	26	avoid	avoid	VERB
fcis-30252	113	27	falling	fall	VERB
fcis-30252	113	28	into	into	ADP
fcis-30252	113	29	the	the	DET
fcis-30252	113	30	local	local	ADJ
fcis-30252	113	31	optimal	optimal	ADJ
fcis-30252	113	32	solution	solution	NOUN
fcis-30252	113	33	.	.	PUNCT
fcis-30252	114	1	the	the	DET
fcis-30252	114	2	formula	formula	NOUN
fcis-30252	114	3	for	for	ADP
fcis-30252	114	4	the	the	DET
fcis-30252	114	5	difference	difference	NOUN
fcis-30252	114	6	in	in	ADP
fcis-30252	114	7	fitness	fitness	NOUN
fcis-30252	114	8	is	be	AUX
fcis-30252	114	9	as	as	SCONJ
fcis-30252	114	10	follows	follow	VERB
fcis-30252	114	11	:	:	PUNCT
fcis-30252	114	12	∆f	∆f	PROPN
fcis-30252	114	13	∣	∣	PROPN
fcis-30252	114	14	f	f	PROPN
fcis-30252	114	15	f	f	PROPN
fcis-30252	114	16	∣	∣	PROPN
fcis-30252	114	17	(	(	PUNCT
fcis-30252	114	18	17	17	NUM
fcis-30252	114	19	)	)	PUNCT
fcis-30252	114	20	where	where	SCONJ
fcis-30252	114	21	the	the	DET
fcis-30252	114	22	fitness	fitness	NOUN
fcis-30252	114	23	of	of	ADP
fcis-30252	114	24	the	the	DET
fcis-30252	114	25	individual	individual	ADJ
fcis-30252	114	26	j	j	PROPN
fcis-30252	114	27	isf	isf	PROPN
fcis-30252	114	28	and	and	CCONJ
fcis-30252	114	29	the	the	DET
fcis-30252	114	30	fitness	fitness	NOUN
fcis-30252	114	31	of	of	ADP
fcis-30252	114	32	the	the	DET
fcis-30252	114	33	global	global	ADJ
fcis-30252	114	34	optimal	optimal	ADJ
fcis-30252	114	35	solution	solution	NOUN
fcis-30252	114	36	isf	isf	PROPN
fcis-30252	114	37	.	.	PUNCT
fcis-30252	115	1	combine	combine	VERB
fcis-30252	115	2	the	the	DET
fcis-30252	115	3	fitness	fitness	NOUN
fcis-30252	115	4	difference	difference	NOUN
fcis-30252	115	5	with	with	ADP
fcis-30252	115	6	the	the	DET
fcis-30252	115	7	global	global	ADJ
fcis-30252	115	8	optimal	optimal	ADJ
fcis-30252	115	9	solution	solution	NOUN
fcis-30252	115	10	to	to	PART
fcis-30252	115	11	guide	guide	VERB
fcis-30252	115	12	the	the	DET
fcis-30252	115	13	search	search	NOUN
fcis-30252	115	14	step	step	NOUN
fcis-30252	115	15	size	size	NOUN
fcis-30252	115	16	of	of	ADP
fcis-30252	115	17	an	an	DET
fcis-30252	115	18	individual	individual	NOUN
fcis-30252	115	19	.	.	PUNCT
fcis-30252	116	1	assume	assume	VERB
fcis-30252	116	2	that	that	SCONJ
fcis-30252	116	3	the	the	DET
fcis-30252	116	4	step	step	NOUN
fcis-30252	116	5	size	size	NOUN
fcis-30252	116	6	∆x	∆x	PROPN
fcis-30252	116	7	is	be	AUX
fcis-30252	116	8	determined	determine	VERB
fcis-30252	116	9	by	by	ADP
fcis-30252	116	10	the	the	DET
fcis-30252	116	11	positional	positional	ADJ
fcis-30252	116	12	difference	difference	NOUN
fcis-30252	116	13	between	between	ADP
fcis-30252	116	14	the	the	DET
fcis-30252	116	15	fitness	fitness	NOUN
fcis-30252	116	16	difference	difference	NOUN
fcis-30252	116	17	and	and	CCONJ
fcis-30252	116	18	the	the	DET
fcis-30252	116	19	global	global	ADJ
fcis-30252	116	20	optimal	optimal	ADJ
fcis-30252	116	21	solution	solution	NOUN
fcis-30252	116	22	with	with	ADP
fcis-30252	116	23	the	the	DET
fcis-30252	116	24	following	follow	VERB
fcis-30252	116	25	formula	formula	NOUN
fcis-30252	116	26	:	:	PUNCT
fcis-30252	116	27	max	max	PROPN
fcis-30252	116	28	δ	δ	PROPN
fcis-30252	116	29	δ	δ	PROPN
fcis-30252	116	30	(	(	PUNCT
fcis-30252	117	1	1	1	X
fcis-30252	117	2	)	)	PUNCT
fcis-30252	117	3	j	j	PROPN
fcis-30252	118	1	j	j	PROPN
fcis-30252	118	2	t	t	PROPN
fcis-30252	118	3	x	x	PROPN
fcis-30252	118	4	f	f	PROPN
fcis-30252	118	5	t	t	PROPN
fcis-30252	118	6			NUM
fcis-30252	118	7			PROPN
fcis-30252	118	8			ADJ
fcis-30252	118	9			ADJ
fcis-30252	118	10			ADJ
fcis-30252	118	11			NOUN
fcis-30252	118	12	(	(	PUNCT
fcis-30252	118	13	18	18	NUM
fcis-30252	118	14	)	)	PUNCT
fcis-30252	118	15	whereγ	whereγ	NOUN
fcis-30252	118	16	is	be	AUX
fcis-30252	118	17	the	the	DET
fcis-30252	118	18	step	step	NOUN
fcis-30252	118	19	adjustment	adjustment	NOUN
fcis-30252	118	20	factor	factor	NOUN
fcis-30252	118	21	andε	andε	NOUN
fcis-30252	118	22	~	~	ADP
fcis-30252	118	23	u	u	PRON
fcis-30252	118	24	0,1	0,1	NOUN
fcis-30252	118	25	is	be	AUX
fcis-30252	118	26	a	a	DET
fcis-30252	118	27	uniformly	uniformly	ADV
fcis-30252	118	28	distributed	distribute	VERB
fcis-30252	118	29	random	random	ADJ
fcis-30252	118	30	number	number	NOUN
fcis-30252	118	31	.	.	PUNCT
fcis-30252	119	1	based	base	VERB
fcis-30252	119	2	on	on	ADP
fcis-30252	119	3	the	the	DET
fcis-30252	119	4	step	step	NOUN
fcis-30252	119	5	size	size	NOUN
fcis-30252	119	6	guided	guide	VERB
fcis-30252	119	7	by	by	ADP
fcis-30252	119	8	the	the	DET
fcis-30252	119	9	fitness	fitness	NOUN
fcis-30252	119	10	difference	difference	NOUN
fcis-30252	119	11	,	,	PUNCT
fcis-30252	119	12	the	the	DET
fcis-30252	119	13	update	update	NOUN
fcis-30252	119	14	formula	formula	NOUN
fcis-30252	119	15	for	for	ADP
fcis-30252	119	16	the	the	DET
fcis-30252	119	17	individualj	individualj	NOUN
fcis-30252	119	18	is	be	AUX
fcis-30252	119	19	.	.	PUNCT
fcis-30252	120	1	x	x	X
fcis-30252	120	2	j	j	NOUN
fcis-30252	120	3	x	x	SYM
fcis-30252	120	4	j	j	PROPN
fcis-30252	120	5	∆x	∆x	PROPN
fcis-30252	120	6	⋅	⋅	PROPN
fcis-30252	120	7	x	x	SYM
fcis-30252	120	8	x	x	SYM
fcis-30252	120	9	j	j	PROPN
fcis-30252	120	10	(	(	PUNCT
fcis-30252	120	11	19	19	NUM
fcis-30252	120	12	)	)	PUNCT
fcis-30252	120	13	where	where	SCONJ
fcis-30252	120	14	:	:	PUNCT
fcis-30252	120	15	x	x	SYM
fcis-30252	120	16	j	j	PROPN
fcis-30252	120	17	is	be	AUX
fcis-30252	120	18	the	the	DET
fcis-30252	120	19	current	current	ADJ
fcis-30252	120	20	solution	solution	NOUN
fcis-30252	120	21	location	location	NOUN
fcis-30252	120	22	of	of	ADP
fcis-30252	120	23	the	the	DET
fcis-30252	120	24	individual	individual	ADJ
fcis-30252	120	25	j	j	PROPN
fcis-30252	120	26	,	,	PUNCT
fcis-30252	120	27	x	x	PROPN
fcis-30252	120	28	is	be	AUX
fcis-30252	120	29	the	the	DET
fcis-30252	120	30	location	location	NOUN
fcis-30252	120	31	of	of	ADP
fcis-30252	120	32	the	the	DET
fcis-30252	120	33	global	global	ADJ
fcis-30252	120	34	optimal	optimal	ADJ
fcis-30252	120	35	solution	solution	NOUN
fcis-30252	120	36	,	,	PUNCT
fcis-30252	120	37	and∆x	and∆x	PROPN
fcis-30252	120	38	is	be	AUX
fcis-30252	120	39	the	the	DET
fcis-30252	120	40	bootstrap	bootstrap	NOUN
fcis-30252	120	41	step	step	NOUN
fcis-30252	120	42	size	size	NOUN
fcis-30252	120	43	.	.	PUNCT
fcis-30252	121	1	3.3	3.3	NUM
fcis-30252	121	2	.	.	PUNCT
fcis-30252	121	3	algorithm	algorithm	NOUN
fcis-30252	121	4	testing	testing	NOUN
fcis-30252	121	5	and	and	CCONJ
fcis-30252	121	6	analysis	analysis	NOUN
fcis-30252	121	7	in	in	ADP
fcis-30252	121	8	order	order	NOUN
fcis-30252	121	9	to	to	PART
fcis-30252	121	10	test	test	VERB
fcis-30252	121	11	the	the	DET
fcis-30252	121	12	improved	improved	ADJ
fcis-30252	121	13	effectiveness	effectiveness	NOUN
fcis-30252	121	14	of	of	ADP
fcis-30252	121	15	messa	messa	NOUN
fcis-30252	121	16	(	(	PUNCT
fcis-30252	121	17	enhanced	enhance	VERB
fcis-30252	121	18	multi	multi	ADJ
fcis-30252	121	19	-	-	ADJ
fcis-30252	121	20	strategy	strategy	ADJ
fcis-30252	121	21	sparrow	sparrow	NOUN
fcis-30252	121	22	search	search	NOUN
fcis-30252	121	23	algorithm	algorithm	NOUN
fcis-30252	121	24	)	)	PUNCT
fcis-30252	121	25	,	,	PUNCT
fcis-30252	121	26	which	which	PRON
fcis-30252	121	27	incorporates	incorporate	VERB
fcis-30252	121	28	population	population	NOUN
fcis-30252	121	29	diversity	diversity	NOUN
fcis-30252	121	30	optimization	optimization	NOUN
fcis-30252	121	31	initialization	initialization	NOUN
fcis-30252	121	32	,	,	PUNCT
fcis-30252	121	33	gaussian	gaussian	ADJ
fcis-30252	121	34	perturbation	perturbation	NOUN
fcis-30252	121	35	strategy	strategy	NOUN
fcis-30252	121	36	,	,	PUNCT
fcis-30252	121	37	and	and	CCONJ
fcis-30252	121	38	updating	update	VERB
fcis-30252	121	39	strategy	strategy	NOUN
fcis-30252	121	40	guided	guide	VERB
fcis-30252	121	41	by	by	ADP
fcis-30252	121	42	fitness	fitness	NOUN
fcis-30252	121	43	difference	difference	NOUN
fcis-30252	121	44	,	,	PUNCT
fcis-30252	121	45	this	this	DET
fcis-30252	121	46	paper	paper	NOUN
fcis-30252	121	47	compares	compare	VERB
fcis-30252	121	48	it	it	PRON
fcis-30252	121	49	with	with	ADP
fcis-30252	121	50	the	the	DET
fcis-30252	121	51	sparrow	sparrow	ADJ
fcis-30252	121	52	search	search	NOUN
fcis-30252	121	53	algorithm	algorithm	NOUN
fcis-30252	121	54	(	(	PUNCT
fcis-30252	121	55	ssa	ssa	NOUN
fcis-30252	121	56	)	)	PUNCT
fcis-30252	121	57	and	and	CCONJ
fcis-30252	121	58	several	several	ADJ
fcis-30252	121	59	other	other	ADJ
fcis-30252	121	60	search	search	NOUN
fcis-30252	121	61	algorithms	algorithm	NOUN
fcis-30252	121	62	,	,	PUNCT
fcis-30252	121	63	namely	namely	ADV
fcis-30252	121	64	:	:	PUNCT
fcis-30252	121	65	the	the	DET
fcis-30252	121	66	sparrow	sparrow	ADJ
fcis-30252	121	67	algorithm	algorithm	NOUN
fcis-30252	121	68	ssa	ssa	NOUN
fcis-30252	121	69	;	;	PUNCT
fcis-30252	121	70	the	the	DET
fcis-30252	121	71	gray	gray	ADJ
fcis-30252	121	72	wolf	wolf	PROPN
fcis-30252	121	73	optimization	optimization	NOUN
fcis-30252	121	74	algorithm	algorithm	PROPN
fcis-30252	121	75	gwo	gwo	NOUN
fcis-30252	121	76	;	;	PUNCT
fcis-30252	121	77	and	and	CCONJ
fcis-30252	121	78	the	the	DET
fcis-30252	121	79	particle	particle	NOUN
fcis-30252	121	80	swarm	swarm	NOUN
fcis-30252	121	81	algorithm	algorithm	NOUN
fcis-30252	121	82	pso	pso	NOUN
fcis-30252	121	83	.	.	PUNCT
fcis-30252	122	1	for	for	ADP
fcis-30252	122	2	a	a	DET
fcis-30252	122	3	comprehensive	comprehensive	ADJ
fcis-30252	122	4	performance	performance	NOUN
fcis-30252	122	5	evaluation	evaluation	NOUN
fcis-30252	122	6	,	,	PUNCT
fcis-30252	122	7	14	14	NUM
fcis-30252	122	8	benchmark	benchmark	NOUN
fcis-30252	122	9	test	test	NOUN
fcis-30252	122	10	functions	function	NOUN
fcis-30252	122	11	covering	cover	VERB
fcis-30252	122	12	different	different	ADJ
fcis-30252	122	13	features	feature	NOUN
fcis-30252	122	14	were	be	AUX
fcis-30252	122	15	selected	select	VERB
fcis-30252	122	16	for	for	ADP
fcis-30252	122	17	the	the	DET
fcis-30252	122	18	study	study	NOUN
fcis-30252	122	19	.	.	PUNCT
fcis-30252	123	1	these	these	DET
fcis-30252	123	2	sets	set	NOUN
fcis-30252	123	3	of	of	ADP
fcis-30252	123	4	evaluation	evaluation	NOUN
fcis-30252	123	5	functions	function	NOUN
fcis-30252	123	6	contain	contain	VERB
fcis-30252	123	7	single	single	ADJ
fcis-30252	123	8	-	-	PUNCT
fcis-30252	123	9	peak	peak	NOUN
fcis-30252	123	10	,	,	PUNCT
fcis-30252	123	11	multi	multi	ADJ
fcis-30252	123	12	-	-	NOUN
fcis-30252	123	13	peak	peak	ADJ
fcis-30252	123	14	,	,	PUNCT
fcis-30252	123	15	and	and	CCONJ
fcis-30252	123	16	dimension	dimension	NOUN
fcis-30252	123	17	-	-	PUNCT
fcis-30252	123	18	specific	specific	ADJ
fcis-30252	123	19	multimodal	multimodal	NOUN
fcis-30252	123	20	functions	function	NOUN
fcis-30252	123	21	.	.	PUNCT
fcis-30252	124	1	among	among	ADP
fcis-30252	124	2	them	they	PRON
fcis-30252	124	3	,	,	PUNCT
fcis-30252	124	4	the	the	DET
fcis-30252	124	5	multi	multi	ADJ
fcis-30252	124	6	-	-	ADJ
fcis-30252	124	7	peak	peak	ADJ
fcis-30252	124	8	function	function	NOUN
fcis-30252	124	9	can	can	AUX
fcis-30252	124	10	effectively	effectively	ADV
fcis-30252	124	11	verify	verify	VERB
fcis-30252	124	12	the	the	DET
fcis-30252	124	13	global	global	ADJ
fcis-30252	124	14	search	search	NOUN
fcis-30252	124	15	capability	capability	NOUN
fcis-30252	124	16	of	of	ADP
fcis-30252	124	17	the	the	DET
fcis-30252	124	18	algorithm	algorithm	NOUN
fcis-30252	124	19	and	and	CCONJ
fcis-30252	124	20	its	its	PRON
fcis-30252	124	21	performance	performance	NOUN
fcis-30252	124	22	in	in	ADP
fcis-30252	124	23	jumping	jump	VERB
fcis-30252	124	24	out	out	ADP
fcis-30252	124	25	of	of	ADP
fcis-30252	124	26	the	the	DET
fcis-30252	124	27	local	local	ADJ
fcis-30252	124	28	optimum	optimum	NOUN
fcis-30252	124	29	due	due	ADP
fcis-30252	124	30	to	to	ADP
fcis-30252	124	31	the	the	DET
fcis-30252	124	32	inclusion	inclusion	NOUN
fcis-30252	124	33	of	of	ADP
fcis-30252	124	34	a	a	DET
fcis-30252	124	35	number	number	NOUN
fcis-30252	124	36	of	of	ADP
fcis-30252	124	37	local	local	ADJ
fcis-30252	124	38	optimal	optimal	ADJ
fcis-30252	124	39	solutions	solution	NOUN
fcis-30252	124	40	,	,	PUNCT
fcis-30252	124	41	while	while	SCONJ
fcis-30252	124	42	the	the	DET
fcis-30252	124	43	single	single	ADJ
fcis-30252	124	44	-	-	PUNCT
fcis-30252	124	45	peak	peak	NOUN
fcis-30252	124	46	function	function	NOUN
fcis-30252	124	47	is	be	AUX
fcis-30252	124	48	mainly	mainly	ADV
fcis-30252	124	49	used	use	VERB
fcis-30252	124	50	to	to	PART
fcis-30252	124	51	evaluate	evaluate	VERB
fcis-30252	124	52	the	the	DET
fcis-30252	124	53	convergence	convergence	NOUN
fcis-30252	124	54	efficiency	efficiency	NOUN
fcis-30252	124	55	and	and	CCONJ
fcis-30252	124	56	local	local	ADJ
fcis-30252	124	57	optimality	optimality	NOUN
fcis-30252	124	58	search	search	NOUN
fcis-30252	124	59	performance	performance	NOUN
fcis-30252	124	60	of	of	ADP
fcis-30252	124	61	the	the	DET
fcis-30252	124	62	algorithm	algorithm	NOUN
fcis-30252	124	63	.	.	PUNCT
fcis-30252	125	1	the	the	DET
fcis-30252	125	2	detailed	detailed	ADJ
fcis-30252	125	3	function	function	NOUN
fcis-30252	125	4	parameters	parameter	NOUN
fcis-30252	125	5	and	and	CCONJ
fcis-30252	125	6	characteristics	characteristic	NOUN
fcis-30252	125	7	are	be	AUX
fcis-30252	125	8	shown	show	VERB
fcis-30252	125	9	in	in	ADP
fcis-30252	125	10	table	table	NOUN
fcis-30252	125	11	1	1	NUM
fcis-30252	125	12	.	.	PUNCT
fcis-30252	126	1	the	the	DET
fcis-30252	126	2	experimental	experimental	ADJ
fcis-30252	126	3	platform	platform	NOUN
fcis-30252	126	4	is	be	AUX
fcis-30252	126	5	configured	configure	VERB
fcis-30252	126	6	as	as	SCONJ
fcis-30252	126	7	follows	follow	VERB
fcis-30252	126	8	:	:	PUNCT
fcis-30252	126	9	cpu	cpu	NOUN
fcis-30252	126	10	model	model	NOUN
fcis-30252	126	11	:	:	PUNCT
fcis-30252	126	12	hp	hp	PROPN
fcis-30252	126	13	hp	hp	PROPN
fcis-30252	126	14	elitebook	elitebook	PROPN
fcis-30252	126	15	840	840	NUM
fcis-30252	126	16	g9	g9	PROPN
fcis-30252	126	17	,	,	PUNCT
fcis-30252	126	18	intel	intel	PROPN
fcis-30252	126	19	core	core	NOUN
fcis-30252	126	20	i7	i7	PROPN
fcis-30252	126	21	-	-	PUNCT
fcis-30252	126	22	1255u	1255u	NOUN
fcis-30252	126	23	main	main	ADJ
fcis-30252	126	24	frequency	frequency	NOUN
fcis-30252	126	25	2.7ghz	2.7ghz	NUM
fcis-30252	126	26	system	system	NOUN
fcis-30252	126	27	memory	memory	NOUN
fcis-30252	126	28	:	:	PUNCT
fcis-30252	126	29	16	16	NUM
fcis-30252	126	30	gb	gb	NOUN
fcis-30252	126	31	system	system	NOUN
fcis-30252	126	32	platform	platform	NOUN
fcis-30252	126	33	:	:	PUNCT
fcis-30252	126	34	windows	window	VERB
fcis-30252	126	35	11	11	NUM
fcis-30252	126	36	64	64	NUM
fcis-30252	126	37	-	-	PUNCT
fcis-30252	126	38	bit	bit	NOUN
fcis-30252	126	39	version	version	NOUN
fcis-30252	126	40	development	development	NOUN
fcis-30252	126	41	tools	tool	NOUN
fcis-30252	126	42	:	:	PUNCT
fcis-30252	126	43	matlab	matlab	PROPN
fcis-30252	126	44	143	143	NUM
fcis-30252	126	45	r2018(a	r2018(a	NOUN
fcis-30252	126	46	)	)	PUNCT
fcis-30252	126	47	in	in	ADP
fcis-30252	126	48	terms	term	NOUN
fcis-30252	126	49	of	of	ADP
fcis-30252	126	50	parameter	parameter	NOUN
fcis-30252	126	51	configuration	configuration	NOUN
fcis-30252	126	52	,	,	PUNCT
fcis-30252	126	53	messa	messa	PROPN
fcis-30252	126	54	adopts	adopt	VERB
fcis-30252	126	55	the	the	DET
fcis-30252	126	56	same	same	ADJ
fcis-30252	126	57	basic	basic	ADJ
fcis-30252	126	58	parameter	parameter	NOUN
fcis-30252	126	59	settings	setting	NOUN
fcis-30252	126	60	as	as	ADP
fcis-30252	126	61	ssa	ssa	NOUN
fcis-30252	126	62	,	,	PUNCT
fcis-30252	126	63	and	and	CCONJ
fcis-30252	126	64	all	all	DET
fcis-30252	126	65	the	the	DET
fcis-30252	126	66	algorithms	algorithm	NOUN
fcis-30252	126	67	involved	involve	VERB
fcis-30252	126	68	in	in	ADP
fcis-30252	126	69	the	the	DET
fcis-30252	126	70	comparison	comparison	NOUN
fcis-30252	126	71	are	be	AUX
fcis-30252	126	72	tested	test	VERB
fcis-30252	126	73	under	under	ADP
fcis-30252	126	74	uniform	uniform	ADJ
fcis-30252	126	75	experimental	experimental	ADJ
fcis-30252	126	76	conditions	condition	NOUN
fcis-30252	126	77	.	.	PUNCT
fcis-30252	127	1	in	in	ADP
fcis-30252	127	2	order	order	NOUN
fcis-30252	127	3	to	to	PART
fcis-30252	127	4	ensure	ensure	VERB
fcis-30252	127	5	the	the	DET
fcis-30252	127	6	statistical	statistical	ADJ
fcis-30252	127	7	reliability	reliability	NOUN
fcis-30252	127	8	of	of	ADP
fcis-30252	127	9	the	the	DET
fcis-30252	127	10	experimental	experimental	ADJ
fcis-30252	127	11	results	result	NOUN
fcis-30252	127	12	and	and	CCONJ
fcis-30252	127	13	reduce	reduce	VERB
fcis-30252	127	14	the	the	DET
fcis-30252	127	15	impact	impact	NOUN
fcis-30252	127	16	of	of	ADP
fcis-30252	127	17	errors	error	NOUN
fcis-30252	127	18	caused	cause	VERB
fcis-30252	127	19	by	by	ADP
fcis-30252	127	20	random	random	ADJ
fcis-30252	127	21	factors	factor	NOUN
fcis-30252	127	22	,	,	PUNCT
fcis-30252	127	23	each	each	DET
fcis-30252	127	24	algorithm	algorithm	NOUN
fcis-30252	127	25	was	be	AUX
fcis-30252	127	26	run	run	VERB
fcis-30252	127	27	independently	independently	ADV
fcis-30252	127	28	for	for	ADP
fcis-30252	127	29	30	30	NUM
fcis-30252	127	30	times	time	NOUN
fcis-30252	127	31	.	.	PUNCT
fcis-30252	128	1	the	the	DET
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fcis-30252	128	5	summarized	summarize	VERB
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fcis-30252	128	10	where	where	SCONJ
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fcis-30252	128	13	results	result	NOUN
fcis-30252	128	14	are	be	AUX
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fcis-30252	132	1	[	[	X
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fcis-30252	134	1	f3	f3	PROPN
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fcis-30252	152	39	8.79	8.79	NUM
fcis-30252	152	40	10	10	NUM
fcis-30252	152	41	8.37	8.37	NUM
fcis-30252	152	42	10	10	NUM
fcis-30252	152	43	9.87	9.87	NUM
fcis-30252	152	44	10	10	NUM
fcis-30252	152	45	messa	messa	NOUN
fcis-30252	152	46	.	.	PUNCT
fcis-30252	152	47	.	.	PUNCT
fcis-30252	152	48	.	.	PUNCT
fcis-30252	153	1	messa	messa	PROPN
fcis-30252	153	2	.	.	PUNCT
fcis-30252	153	3	.	.	PUNCT
fcis-30252	153	4	.	.	PUNCT
fcis-30252	154	1	gwo	gwo	PROPN
fcis-30252	154	2	0.00	0.00	NUM
fcis-30252	154	3	10	10	NUM
fcis-30252	154	4	0.00	0.00	NUM
fcis-30252	154	5	10	10	NUM
fcis-30252	154	6	0.00	0.00	NUM
fcis-30252	154	7	10	10	NUM
fcis-30252	154	8	gwo	gwo	NOUN
fcis-30252	154	9	0.00	0.00	NUM
fcis-30252	154	10	10	10	NUM
fcis-30252	154	11	0.00	0.00	NUM
fcis-30252	154	12	10	10	NUM
fcis-30252	154	13	0.00	0.00	NUM
fcis-30252	154	14	10	10	NUM
fcis-30252	154	15	pso	pso	NOUN
fcis-30252	154	16	8.57	8.57	NUM
fcis-30252	154	17	10	10	NUM
fcis-30252	154	18	3.11	3.11	NUM
fcis-30252	154	19	10	10	NUM
fcis-30252	154	20	1.67	1.67	NUM
fcis-30252	154	21	10	10	NUM
fcis-30252	154	22	pso	pso	NOUN
fcis-30252	154	23	0.00	0.00	NUM
fcis-30252	154	24	10	10	NUM
fcis-30252	154	25	1.43	1.43	NUM
fcis-30252	154	26	10	10	NUM
fcis-30252	154	27	1.01	1.01	NUM
fcis-30252	154	28	10	10	NUM
fcis-30252	154	29	f5	f5	PROPN
fcis-30252	154	30	ssa	ssa	NOUN
fcis-30252	154	31	2.86	2.86	NUM
fcis-30252	154	32	10	10	NUM
fcis-30252	154	33	2.88	2.88	NUM
fcis-30252	154	34	10	10	NUM
fcis-30252	154	35	5.71	5.71	NUM
fcis-30252	154	36	10	10	NUM
fcis-30252	154	37	f12	f12	NOUN
fcis-30252	154	38	ssa	ssa	NOUN
fcis-30252	154	39	6.52	6.52	NUM
fcis-30252	154	40	10	10	NUM
fcis-30252	154	41	1.27	1.27	NUM
fcis-30252	154	42	10	10	NUM
fcis-30252	154	43	3.82	3.82	NUM
fcis-30252	154	44	10	10	NUM
fcis-30252	154	45	messa	messa	NOUN
fcis-30252	154	46	3.09	3.09	NUM
fcis-30252	154	47	10	10	NUM
fcis-30252	154	48	1.27	1.27	NUM
fcis-30252	154	49	10	10	NUM
fcis-30252	154	50	2.77	2.77	NUM
fcis-30252	154	51	10	10	NUM
fcis-30252	154	52	messa	messa	NOUN
fcis-30252	154	53	.	.	PUNCT
fcis-30252	155	1	3.94	3.94	NUM
fcis-30252	155	2	10	10	NUM
fcis-30252	155	3	4.34	4.34	NUM
fcis-30252	155	4	10	10	NUM
fcis-30252	155	5	gwo	gwo	NOUN
fcis-30252	155	6	.	.	PUNCT
fcis-30252	155	7	.	.	PUNCT
fcis-30252	155	8	.	.	PUNCT
fcis-30252	156	1	gwo	gwo	PROPN
fcis-30252	156	2	1.85	1.85	NUM
fcis-30252	156	3	10	10	NUM
fcis-30252	156	4	6.28	6.28	NUM
fcis-30252	156	5	10	10	NUM
fcis-30252	156	6	9.08	9.08	NUM
fcis-30252	156	7	10	10	NUM
fcis-30252	156	8	pso	pso	NOUN
fcis-30252	156	9	1.69	1.69	NUM
fcis-30252	156	10	10	10	NUM
fcis-30252	156	11	2.99	2.99	NUM
fcis-30252	156	12	10	10	NUM
fcis-30252	156	13	2.01	2.01	NUM
fcis-30252	156	14	10	10	NUM
fcis-30252	156	15	pso	pso	NOUN
fcis-30252	156	16	4.22	4.22	NUM
fcis-30252	156	17	10	10	NUM
fcis-30252	156	18	1.32	1.32	NUM
fcis-30252	156	19	10	10	NUM
fcis-30252	156	20	1.89	1.89	NUM
fcis-30252	156	21	10	10	NUM
fcis-30252	157	1	f6	f6	PROPN
fcis-30252	157	2	ssa	ssa	PROPN
fcis-30252	157	3	3.39	3.39	NUM
fcis-30252	157	4	10	10	NUM
fcis-30252	157	5	3.72	3.72	NUM
fcis-30252	157	6	10	10	NUM
fcis-30252	157	7	4.72	4.72	NUM
fcis-30252	157	8	10	10	NUM
fcis-30252	157	9	f13	f13	ADJ
fcis-30252	157	10	ssa	ssa	NOUN
fcis-30252	157	11	7.93	7.93	NUM
fcis-30252	157	12	10	10	NUM
fcis-30252	157	13	1.03	1.03	NUM
fcis-30252	157	14	10	10	NUM
fcis-30252	157	15	1.46	1.46	NUM
fcis-30252	157	16	10	10	NUM
fcis-30252	157	17	messa	messa	NOUN
fcis-30252	157	18	.	.	PUNCT
fcis-30252	158	1	1.46	1.46	NUM
fcis-30252	158	2	10	10	NUM
fcis-30252	158	3	2.06	2.06	NUM
fcis-30252	158	4	10	10	NUM
fcis-30252	158	5	messa	messa	NOUN
fcis-30252	158	6	.	.	PUNCT
fcis-30252	158	7	.	.	PUNCT
fcis-30252	158	8	.	.	PUNCT
fcis-30252	159	1	gwo	gwo	PROPN
fcis-30252	159	2	1.31	1.31	NUM
fcis-30252	159	3	10	10	NUM
fcis-30252	159	4	5.73	5.73	NUM
fcis-30252	159	5	10	10	NUM
fcis-30252	159	6	6.25	6.25	NUM
fcis-30252	159	7	10	10	NUM
fcis-30252	159	8	gwo	gwo	NOUN
fcis-30252	159	9	3.77	3.77	NUM
fcis-30252	159	10	10	10	NUM
fcis-30252	159	11	4.05	4.05	NUM
fcis-30252	159	12	10	10	NUM
fcis-30252	159	13	3.24	3.24	NUM
fcis-30252	159	14	10	10	NUM
fcis-30252	159	15	pso	pso	NOUN
fcis-30252	159	16	9.52	9.52	NUM
fcis-30252	159	17	10	10	NUM
fcis-30252	159	18	1.04	1.04	NUM
fcis-30252	159	19	10	10	NUM
fcis-30252	159	20	7.29	7.29	NUM
fcis-30252	159	21	10	10	NUM
fcis-30252	159	22	pso	pso	NOUN
fcis-30252	159	23	4.35	4.35	NUM
fcis-30252	159	24	10	10	NUM
fcis-30252	159	25	9.21	9.21	NUM
fcis-30252	159	26	10	10	NUM
fcis-30252	159	27	1.35	1.35	NUM
fcis-30252	159	28	10	10	NUM
fcis-30252	160	1	f7	f7	PROPN
fcis-30252	160	2	ssa	ssa	NOUN
fcis-30252	160	3	1.63	1.63	NUM
fcis-30252	160	4	10	10	NUM
fcis-30252	160	5	1.83	1.83	NUM
fcis-30252	160	6	10	10	NUM
fcis-30252	160	7	1.72	1.72	NUM
fcis-30252	160	8	10	10	NUM
fcis-30252	160	9	f14	f14	PROPN
fcis-30252	160	10	ssa	ssa	PROPN
fcis-30252	160	11	9.98	9.98	NUM
fcis-30252	160	12	10	10	NUM
fcis-30252	160	13	9.98	9.98	NUM
fcis-30252	160	14	10	10	NUM
fcis-30252	160	15	7.21	7.21	NUM
fcis-30252	160	16	10	10	NUM
fcis-30252	160	17	messa	messa	NOUN
fcis-30252	160	18	.	.	PUNCT
fcis-30252	161	1	1.19	1.19	NUM
fcis-30252	161	2	10	10	NUM
fcis-30252	161	3	1.16	1.16	NUM
fcis-30252	161	4	10	10	NUM
fcis-30252	161	5	messa	messa	NOUN
fcis-30252	161	6	.	.	PUNCT
fcis-30252	161	7	.	.	PUNCT
fcis-30252	161	8	.	.	PUNCT
fcis-30252	162	1	gwo	gwo	PROPN
fcis-30252	162	2	1.31	1.31	NUM
fcis-30252	162	3	10	10	NUM
fcis-30252	162	4	2.33	2.33	NUM
fcis-30252	162	5	10	10	NUM
fcis-30252	162	6	2.05	2.05	NUM
fcis-30252	162	7	10	10	NUM
fcis-30252	162	8	gwo	gwo	NOUN
fcis-30252	162	9	9.98	9.98	NUM
fcis-30252	162	10	10	10	NUM
fcis-30252	162	11	9.98	9.98	NUM
fcis-30252	162	12	10	10	NUM
fcis-30252	162	13	2.35	2.35	NUM
fcis-30252	162	14	10	10	NUM
fcis-30252	162	15	pso	pso	NOUN
fcis-30252	162	16	1.42	1.42	NUM
fcis-30252	162	17	10	10	NUM
fcis-30252	162	18	2.58	2.58	NUM
fcis-30252	162	19	10	10	NUM
fcis-30252	162	20	7.67	7.67	NUM
fcis-30252	162	21	10	10	NUM
fcis-30252	162	22	pso	pso	NOUN
fcis-30252	162	23	9.98	9.98	NUM
fcis-30252	162	24	10	10	NUM
fcis-30252	162	25	9.98	9.98	NUM
fcis-30252	162	26	10	10	NUM
fcis-30252	162	27	5.21	5.21	NUM
fcis-30252	162	28	10	10	NUM
fcis-30252	162	29	144	144	NUM
fcis-30252	162	30	in	in	ADP
fcis-30252	162	31	order	order	NOUN
fcis-30252	162	32	to	to	PART
fcis-30252	162	33	visually	visually	ADV
fcis-30252	162	34	assess	assess	VERB
fcis-30252	162	35	the	the	DET
fcis-30252	162	36	optimization	optimization	NOUN
fcis-30252	162	37	performance	performance	NOUN
fcis-30252	162	38	of	of	ADP
fcis-30252	162	39	the	the	DET
fcis-30252	162	40	messa	messa	PROPN
fcis-30252	162	41	algorithm	algorithm	PROPN
fcis-30252	162	42	,	,	PUNCT
fcis-30252	162	43	the	the	DET
fcis-30252	162	44	convergence	convergence	NOUN
fcis-30252	162	45	trajectories	trajectory	NOUN
fcis-30252	162	46	of	of	ADP
fcis-30252	162	47	four	four	NUM
fcis-30252	162	48	typical	typical	ADJ
fcis-30252	162	49	test	test	NOUN
fcis-30252	162	50	functions	function	NOUN
fcis-30252	162	51	are	be	AUX
fcis-30252	162	52	selected	select	VERB
fcis-30252	162	53	in	in	ADP
fcis-30252	162	54	figure	figure	NOUN
fcis-30252	162	55	2	2	NUM
fcis-30252	162	56	for	for	ADP
fcis-30252	162	57	comparative	comparative	ADJ
fcis-30252	162	58	analysis	analysis	NOUN
fcis-30252	162	59	.	.	PUNCT
fcis-30252	163	1	by	by	ADP
fcis-30252	163	2	processing	process	VERB
fcis-30252	163	3	the	the	DET
fcis-30252	163	4	logarithmic	logarithmic	ADJ
fcis-30252	163	5	transformation	transformation	NOUN
fcis-30252	163	6	of	of	ADP
fcis-30252	163	7	the	the	DET
fcis-30252	163	8	function	function	NOUN
fcis-30252	163	9	fitness	fitness	NOUN
fcis-30252	163	10	values	value	NOUN
fcis-30252	163	11	,	,	PUNCT
fcis-30252	163	12	the	the	DET
fcis-30252	163	13	convergence	convergence	NOUN
fcis-30252	163	14	behavior	behavior	NOUN
fcis-30252	163	15	and	and	CCONJ
fcis-30252	163	16	dynamic	dynamic	ADJ
fcis-30252	163	17	characteristics	characteristic	NOUN
fcis-30252	163	18	of	of	ADP
fcis-30252	163	19	each	each	DET
fcis-30252	163	20	algorithm	algorithm	NOUN
fcis-30252	163	21	in	in	ADP
fcis-30252	163	22	the	the	DET
fcis-30252	163	23	search	search	NOUN
fcis-30252	163	24	process	process	NOUN
fcis-30252	163	25	are	be	AUX
fcis-30252	163	26	reflected	reflect	VERB
fcis-30252	163	27	more	more	ADV
fcis-30252	163	28	clearly	clearly	ADV
fcis-30252	163	29	.	.	PUNCT
fcis-30252	164	1	figure	figure	VERB
fcis-30252	164	2	1	1	NUM
fcis-30252	164	3	.	.	PUNCT
fcis-30252	164	4	messa	messa	PROPN
fcis-30252	164	5	algorithm	algorithm	PROPN
fcis-30252	164	6	flow	flow	NOUN
fcis-30252	164	7	(	(	PUNCT
fcis-30252	164	8	a	a	X
fcis-30252	164	9	)	)	PUNCT
fcis-30252	164	10	convergence	convergence	NOUN
fcis-30252	164	11	curve	curve	NOUN
fcis-30252	164	12	of	of	ADP
fcis-30252	164	13	function	function	NOUN
fcis-30252	164	14	f2	f2	PROPN
fcis-30252	164	15	(	(	PUNCT
fcis-30252	164	16	b	b	NOUN
fcis-30252	164	17	)	)	PUNCT
fcis-30252	164	18	convergence	convergence	NOUN
fcis-30252	164	19	curve	curve	NOUN
fcis-30252	164	20	of	of	ADP
fcis-30252	164	21	function	function	NOUN
fcis-30252	164	22	f6	f6	PROPN
fcis-30252	164	23	(	(	PUNCT
fcis-30252	164	24	c	c	NOUN
fcis-30252	164	25	)	)	PUNCT
fcis-30252	164	26	convergence	convergence	NOUN
fcis-30252	164	27	curve	curve	NOUN
fcis-30252	164	28	of	of	ADP
fcis-30252	164	29	function	function	NOUN
fcis-30252	164	30	f8	f8	PROPN
fcis-30252	164	31	(	(	PUNCT
fcis-30252	164	32	d	d	NOUN
fcis-30252	164	33	)	)	PUNCT
fcis-30252	164	34	convergence	convergence	NOUN
fcis-30252	164	35	curve	curve	NOUN
fcis-30252	164	36	of	of	ADP
fcis-30252	164	37	function	function	NOUN
fcis-30252	164	38	f13	f13	ADJ
fcis-30252	164	39	figure	figure	NOUN
fcis-30252	164	40	2	2	NUM
fcis-30252	164	41	.	.	PUNCT
fcis-30252	164	42	convergence	convergence	NOUN
fcis-30252	164	43	plot	plot	NOUN
fcis-30252	164	44	of	of	ADP
fcis-30252	164	45	test	test	NOUN
fcis-30252	164	46	function	function	NOUN
fcis-30252	164	47	145	145	NUM
fcis-30252	164	48	by	by	ADP
fcis-30252	164	49	comparing	compare	VERB
fcis-30252	164	50	the	the	DET
fcis-30252	164	51	experimental	experimental	ADJ
fcis-30252	164	52	results	result	NOUN
fcis-30252	164	53	,	,	PUNCT
fcis-30252	164	54	it	it	PRON
fcis-30252	164	55	can	can	AUX
fcis-30252	164	56	be	be	AUX
fcis-30252	164	57	found	find	VERB
fcis-30252	164	58	that	that	SCONJ
fcis-30252	164	59	the	the	DET
fcis-30252	164	60	messa	messa	PROPN
fcis-30252	164	61	algorithm	algorithm	PROPN
fcis-30252	164	62	achieves	achieve	VERB
fcis-30252	164	63	exact	exact	ADJ
fcis-30252	164	64	convergence	convergence	NOUN
fcis-30252	164	65	in	in	ADP
fcis-30252	164	66	all	all	DET
fcis-30252	164	67	the	the	DET
fcis-30252	164	68	tests	test	NOUN
fcis-30252	164	69	of	of	ADP
fcis-30252	164	70	the	the	DET
fcis-30252	164	71	single	single	ADJ
fcis-30252	164	72	-	-	PUNCT
fcis-30252	164	73	peak	peak	NOUN
fcis-30252	164	74	functions	function	NOUN
fcis-30252	164	75	f1	f1	NOUN
fcis-30252	164	76	-	-	PUNCT
fcis-30252	164	77	f4	f4	NOUN
fcis-30252	164	78	,	,	PUNCT
fcis-30252	164	79	which	which	PRON
fcis-30252	164	80	is	be	AUX
fcis-30252	164	81	mainly	mainly	ADV
fcis-30252	164	82	attributed	attribute	VERB
fcis-30252	164	83	to	to	ADP
fcis-30252	164	84	the	the	DET
fcis-30252	164	85	gaussian	gaussian	ADJ
fcis-30252	164	86	perturbation	perturbation	NOUN
fcis-30252	164	87	mechanism	mechanism	NOUN
fcis-30252	164	88	introduced	introduce	VERB
fcis-30252	164	89	in	in	ADP
fcis-30252	164	90	the	the	DET
fcis-30252	164	91	discoverer	discoverer	NOUN
fcis-30252	164	92	updating	update	VERB
fcis-30252	164	93	strategy	strategy	NOUN
fcis-30252	164	94	,	,	PUNCT
fcis-30252	164	95	the	the	DET
fcis-30252	164	96	gaussian	gaussian	ADJ
fcis-30252	164	97	perturbation	perturbation	NOUN
fcis-30252	164	98	provides	provide	VERB
fcis-30252	164	99	random	random	ADJ
fcis-30252	164	100	fluctuations	fluctuation	NOUN
fcis-30252	164	101	conforming	conform	VERB
fcis-30252	164	102	to	to	ADP
fcis-30252	164	103	the	the	DET
fcis-30252	164	104	normal	normal	ADJ
fcis-30252	164	105	distribution	distribution	NOUN
fcis-30252	164	106	for	for	ADP
fcis-30252	164	107	the	the	DET
fcis-30252	164	108	individual	individual	ADJ
fcis-30252	164	109	searches	search	NOUN
fcis-30252	164	110	,	,	PUNCT
fcis-30252	164	111	which	which	PRON
fcis-30252	164	112	is	be	AUX
fcis-30252	164	113	more	more	ADV
fcis-30252	164	114	conducive	conducive	ADJ
fcis-30252	164	115	to	to	ADP
fcis-30252	164	116	the	the	DET
fcis-30252	164	117	careful	careful	ADJ
fcis-30252	164	118	localized	localized	ADJ
fcis-30252	164	119	exploration	exploration	NOUN
fcis-30252	164	120	.	.	PUNCT
fcis-30252	165	1	in	in	ADP
fcis-30252	165	2	the	the	DET
fcis-30252	165	3	complex	complex	ADJ
fcis-30252	165	4	multi	multi	ADJ
fcis-30252	165	5	-	-	ADJ
fcis-30252	165	6	peak	peak	ADJ
fcis-30252	165	7	function	function	NOUN
fcis-30252	165	8	f5	f5	PROPN
fcis-30252	165	9	-	-	PUNCT
fcis-30252	165	10	f7	f7	PROPN
fcis-30252	165	11	tests	test	NOUN
fcis-30252	165	12	,	,	PUNCT
fcis-30252	165	13	the	the	DET
fcis-30252	165	14	advantages	advantage	NOUN
fcis-30252	165	15	of	of	ADP
fcis-30252	165	16	the	the	DET
fcis-30252	165	17	improved	improved	ADJ
fcis-30252	165	18	algorithm	algorithm	NOUN
fcis-30252	165	19	are	be	AUX
fcis-30252	165	20	more	more	ADV
fcis-30252	165	21	obvious	obvious	ADJ
fcis-30252	165	22	.	.	PUNCT
fcis-30252	166	1	taking	take	VERB
fcis-30252	166	2	f6	f6	PRON
fcis-30252	166	3	as	as	ADP
fcis-30252	166	4	an	an	DET
fcis-30252	166	5	example	example	NOUN
fcis-30252	166	6	,	,	PUNCT
fcis-30252	166	7	messa	messa	PROPN
fcis-30252	166	8	obtains	obtain	VERB
fcis-30252	166	9	the	the	DET
fcis-30252	166	10	optimal	optimal	ADJ
fcis-30252	166	11	solution	solution	NOUN
fcis-30252	166	12	of	of	ADP
fcis-30252	166	13	3.74	3.74	NUM
fcis-30252	166	14	10	10	NUM
fcis-30252	166	15	.	.	PUNCT
fcis-30252	167	1	this	this	DET
fcis-30252	167	2	significant	significant	ADJ
fcis-30252	167	3	performance	performance	NOUN
fcis-30252	167	4	improvement	improvement	NOUN
fcis-30252	167	5	mainly	mainly	ADV
fcis-30252	167	6	stems	stem	VERB
fcis-30252	167	7	from	from	ADP
fcis-30252	167	8	the	the	DET
fcis-30252	167	9	innovative	innovative	ADJ
fcis-30252	167	10	design	design	NOUN
fcis-30252	167	11	of	of	ADP
fcis-30252	167	12	the	the	DET
fcis-30252	167	13	joiner	joiner	NOUN
fcis-30252	167	14	updating	update	VERB
fcis-30252	167	15	strategy	strategy	NOUN
fcis-30252	167	16	:	:	PUNCT
fcis-30252	167	17	a	a	DET
fcis-30252	167	18	dynamic	dynamic	ADJ
fcis-30252	167	19	step	step	NOUN
fcis-30252	167	20	-	-	PUNCT
fcis-30252	167	21	size	size	NOUN
fcis-30252	167	22	adjustment	adjustment	NOUN
fcis-30252	167	23	mechanism	mechanism	NOUN
fcis-30252	167	24	based	base	VERB
fcis-30252	167	25	on	on	ADP
fcis-30252	167	26	the	the	DET
fcis-30252	167	27	fitness	fitness	NOUN
fcis-30252	167	28	difference	difference	NOUN
fcis-30252	167	29	,	,	PUNCT
fcis-30252	167	30	which	which	PRON
fcis-30252	167	31	enables	enable	VERB
fcis-30252	167	32	the	the	DET
fcis-30252	167	33	individual	individual	NOUN
fcis-30252	167	34	to	to	PART
fcis-30252	167	35	adaptively	adaptively	ADV
fcis-30252	167	36	adjust	adjust	VERB
fcis-30252	167	37	the	the	DET
fcis-30252	167	38	searching	search	VERB
fcis-30252	167	39	step	step	NOUN
fcis-30252	167	40	size	size	NOUN
fcis-30252	167	41	according	accord	VERB
fcis-30252	167	42	to	to	ADP
fcis-30252	167	43	the	the	DET
fcis-30252	167	44	gap	gap	NOUN
fcis-30252	167	45	with	with	ADP
fcis-30252	167	46	the	the	DET
fcis-30252	167	47	global	global	ADJ
fcis-30252	167	48	optimal	optimal	ADJ
fcis-30252	167	49	solution	solution	NOUN
fcis-30252	167	50	,	,	PUNCT
fcis-30252	167	51	and	and	CCONJ
fcis-30252	167	52	it	it	PRON
fcis-30252	167	53	performs	perform	VERB
fcis-30252	167	54	well	well	ADV
fcis-30252	167	55	in	in	ADP
fcis-30252	167	56	a	a	DET
fcis-30252	167	57	complex	complex	ADJ
fcis-30252	167	58	function	function	NOUN
fcis-30252	167	59	space	space	NOUN
fcis-30252	167	60	like	like	ADP
fcis-30252	167	61	f6	f6	PROPN
fcis-30252	167	62	.	.	PUNCT
fcis-30252	168	1	especially	especially	ADV
fcis-30252	168	2	on	on	ADP
fcis-30252	168	3	the	the	DET
fcis-30252	168	4	high	high	ADV
fcis-30252	168	5	-	-	PUNCT
fcis-30252	168	6	dimensional	dimensional	ADJ
fcis-30252	168	7	function	function	NOUN
fcis-30252	168	8	f8	f8	PROPN
fcis-30252	168	9	,	,	PUNCT
fcis-30252	168	10	messa	messa	PROPN
fcis-30252	168	11	reaches	reach	VERB
fcis-30252	168	12	the	the	DET
fcis-30252	168	13	global	global	ADJ
fcis-30252	168	14	optimum	optimum	ADJ
fcis-30252	168	15	value	value	NOUN
fcis-30252	168	16	of	of	ADP
fcis-30252	168	17	-12569.49	-12569.49	NUM
fcis-30252	168	18	and	and	CCONJ
fcis-30252	168	19	the	the	DET
fcis-30252	168	20	standard	standard	ADJ
fcis-30252	168	21	deviation	deviation	NOUN
fcis-30252	168	22	is	be	AUX
fcis-30252	168	23	only	only	ADV
fcis-30252	168	24	5.46	5.46	NUM
fcis-30252	168	25	×	×	NOUN
fcis-30252	168	26	10	10	NUM
fcis-30252	168	27	^	^	SYM
fcis-30252	168	28	-3	-3	PUNCT
fcis-30252	168	29	,	,	PUNCT
fcis-30252	168	30	this	this	DET
fcis-30252	168	31	result	result	NOUN
fcis-30252	168	32	is	be	AUX
fcis-30252	168	33	significantly	significantly	ADV
fcis-30252	168	34	better	well	ADJ
fcis-30252	168	35	than	than	ADP
fcis-30252	168	36	the	the	DET
fcis-30252	168	37	other	other	ADJ
fcis-30252	168	38	compared	compare	VERB
fcis-30252	168	39	algorithms	algorithm	NOUN
fcis-30252	168	40	.	.	PUNCT
fcis-30252	169	1	meanwhile	meanwhile	ADV
fcis-30252	169	2	the	the	DET
fcis-30252	169	3	lower	low	ADJ
fcis-30252	169	4	standard	standard	ADJ
fcis-30252	169	5	deviation	deviation	NOUN
fcis-30252	169	6	proves	prove	VERB
fcis-30252	169	7	that	that	SCONJ
fcis-30252	169	8	the	the	DET
fcis-30252	169	9	algorithm	algorithm	NOUN
fcis-30252	169	10	has	have	VERB
fcis-30252	169	11	strong	strong	ADJ
fcis-30252	169	12	stability	stability	NOUN
fcis-30252	169	13	,	,	PUNCT
fcis-30252	169	14	thanks	thank	NOUN
fcis-30252	169	15	to	to	ADP
fcis-30252	169	16	the	the	DET
fcis-30252	169	17	diversity	diversity	NOUN
fcis-30252	169	18	preserving	preserve	VERB
fcis-30252	169	19	initialization	initialization	NOUN
fcis-30252	169	20	method	method	NOUN
fcis-30252	169	21	based	base	VERB
fcis-30252	169	22	on	on	ADP
fcis-30252	169	23	euclidean	euclidean	ADJ
fcis-30252	169	24	distance	distance	NOUN
fcis-30252	169	25	which	which	PRON
fcis-30252	169	26	effectively	effectively	ADV
fcis-30252	169	27	maintains	maintain	VERB
fcis-30252	169	28	the	the	DET
fcis-30252	169	29	dispersion	dispersion	NOUN
fcis-30252	169	30	of	of	ADP
fcis-30252	169	31	the	the	DET
fcis-30252	169	32	population	population	NOUN
fcis-30252	169	33	in	in	ADP
fcis-30252	169	34	the	the	DET
fcis-30252	169	35	high	high	ADV
fcis-30252	169	36	-	-	PUNCT
fcis-30252	169	37	dimensional	dimensional	ADJ
fcis-30252	169	38	space	space	NOUN
fcis-30252	169	39	and	and	CCONJ
fcis-30252	169	40	avoids	avoid	VERB
fcis-30252	169	41	premature	premature	ADJ
fcis-30252	169	42	convergence	convergence	NOUN
fcis-30252	169	43	caused	cause	VERB
fcis-30252	169	44	by	by	ADP
fcis-30252	169	45	premature	premature	ADJ
fcis-30252	169	46	aggregation	aggregation	NOUN
fcis-30252	169	47	of	of	ADP
fcis-30252	169	48	the	the	DET
fcis-30252	169	49	population	population	NOUN
fcis-30252	169	50	.	.	PUNCT
fcis-30252	170	1	meanwhile	meanwhile	ADV
fcis-30252	170	2	,	,	PUNCT
fcis-30252	170	3	the	the	DET
fcis-30252	170	4	advantage	advantage	NOUN
fcis-30252	170	5	of	of	ADP
fcis-30252	170	6	messa	messa	NOUN
fcis-30252	170	7	is	be	AUX
fcis-30252	170	8	more	more	ADV
fcis-30252	170	9	obvious	obvious	ADJ
fcis-30252	170	10	in	in	ADP
fcis-30252	170	11	functions	function	NOUN
fcis-30252	170	12	with	with	ADP
fcis-30252	170	13	complex	complex	ADJ
fcis-30252	170	14	terrain	terrain	NOUN
fcis-30252	170	15	features	feature	NOUN
fcis-30252	170	16	such	such	ADJ
fcis-30252	170	17	as	as	ADP
fcis-30252	170	18	f10	f10	NOUN
fcis-30252	170	19	-	-	PUNCT
fcis-30252	170	20	f13	f13	NOUN
fcis-30252	170	21	.	.	PUNCT
fcis-30252	171	1	especially	especially	ADV
fcis-30252	171	2	in	in	ADP
fcis-30252	171	3	the	the	DET
fcis-30252	171	4	f12	f12	NOUN
fcis-30252	171	5	function	function	NOUN
fcis-30252	171	6	,	,	PUNCT
fcis-30252	171	7	the	the	DET
fcis-30252	171	8	optimal	optimal	ADJ
fcis-30252	171	9	value	value	NOUN
fcis-30252	171	10	obtained	obtain	VERB
fcis-30252	171	11	by	by	ADP
fcis-30252	171	12	messa	messa	PROPN
fcis-30252	171	13	is	be	AUX
fcis-30252	171	14	improved	improve	VERB
fcis-30252	171	15	by	by	ADP
fcis-30252	171	16	12	12	NUM
fcis-30252	171	17	orders	order	NOUN
fcis-30252	171	18	of	of	ADP
fcis-30252	171	19	magnitude	magnitude	NOUN
fcis-30252	171	20	compared	compare	VERB
fcis-30252	171	21	to	to	ADP
fcis-30252	171	22	the	the	DET
fcis-30252	171	23	original	original	ADJ
fcis-30252	171	24	ssa	ssa	NOUN
fcis-30252	171	25	algorithm	algorithm	NOUN
fcis-30252	171	26	.	.	PUNCT
fcis-30252	172	1	this	this	DET
fcis-30252	172	2	significant	significant	ADJ
fcis-30252	172	3	improvement	improvement	NOUN
fcis-30252	172	4	can	can	AUX
fcis-30252	172	5	be	be	AUX
fcis-30252	172	6	attributed	attribute	VERB
fcis-30252	172	7	to	to	ADP
fcis-30252	172	8	the	the	DET
fcis-30252	172	9	optimization	optimization	NOUN
fcis-30252	172	10	of	of	ADP
fcis-30252	172	11	the	the	DET
fcis-30252	172	12	joiner	joiner	NOUN
fcis-30252	172	13	updating	update	VERB
fcis-30252	172	14	strategy	strategy	NOUN
fcis-30252	172	15	in	in	ADP
fcis-30252	172	16	the	the	DET
fcis-30252	172	17	improved	improved	ADJ
fcis-30252	172	18	algorithm	algorithm	NOUN
fcis-30252	172	19	:	:	PUNCT
fcis-30252	172	20	by	by	ADP
fcis-30252	172	21	combining	combine	VERB
fcis-30252	172	22	the	the	DET
fcis-30252	172	23	global	global	ADJ
fcis-30252	172	24	optimal	optimal	ADJ
fcis-30252	172	25	solution	solution	NOUN
fcis-30252	172	26	information	information	NOUN
fcis-30252	172	27	with	with	ADP
fcis-30252	172	28	the	the	DET
fcis-30252	172	29	fitness	fitness	NOUN
fcis-30252	172	30	difference	difference	NOUN
fcis-30252	172	31	,	,	PUNCT
fcis-30252	172	32	the	the	DET
fcis-30252	172	33	convergence	convergence	NOUN
fcis-30252	172	34	speed	speed	NOUN
fcis-30252	172	35	is	be	AUX
fcis-30252	172	36	guaranteed	guarantee	VERB
fcis-30252	172	37	while	while	SCONJ
fcis-30252	172	38	maintaining	maintain	VERB
fcis-30252	172	39	a	a	DET
fcis-30252	172	40	strong	strong	ADJ
fcis-30252	172	41	exploitation	exploitation	NOUN
fcis-30252	172	42	capability	capability	NOUN
fcis-30252	172	43	.	.	PUNCT
fcis-30252	173	1	however	however	ADV
fcis-30252	173	2	,	,	PUNCT
fcis-30252	173	3	it	it	PRON
fcis-30252	173	4	is	be	AUX
fcis-30252	173	5	worth	worth	ADJ
fcis-30252	173	6	noting	note	VERB
fcis-30252	173	7	that	that	SCONJ
fcis-30252	173	8	messa	messa	PROPN
fcis-30252	173	9	does	do	AUX
fcis-30252	173	10	not	not	PART
fcis-30252	173	11	perform	perform	VERB
fcis-30252	173	12	as	as	ADV
fcis-30252	173	13	well	well	ADV
fcis-30252	173	14	as	as	ADP
fcis-30252	173	15	gwo	gwo	NOUN
fcis-30252	173	16	on	on	ADP
fcis-30252	173	17	f5	f5	NOUN
fcis-30252	173	18	,	,	PUNCT
fcis-30252	173	19	mainly	mainly	ADV
fcis-30252	173	20	due	due	ADP
fcis-30252	173	21	to	to	ADP
fcis-30252	173	22	the	the	DET
fcis-30252	173	23	fact	fact	NOUN
fcis-30252	173	24	that	that	SCONJ
fcis-30252	173	25	messa	messa	PROPN
fcis-30252	173	26	's	's	PART
fcis-30252	173	27	updating	update	VERB
fcis-30252	173	28	strategy	strategy	NOUN
fcis-30252	173	29	relies	rely	VERB
fcis-30252	173	30	heavily	heavily	ADV
fcis-30252	173	31	on	on	ADP
fcis-30252	173	32	the	the	DET
fcis-30252	173	33	difference	difference	NOUN
fcis-30252	173	34	from	from	ADP
fcis-30252	173	35	the	the	DET
fcis-30252	173	36	current	current	ADJ
fcis-30252	173	37	optimal	optimal	ADJ
fcis-30252	173	38	solution	solution	NOUN
fcis-30252	173	39	to	to	PART
fcis-30252	173	40	guide	guide	VERB
fcis-30252	173	41	the	the	DET
fcis-30252	173	42	search	search	NOUN
fcis-30252	173	43	.	.	PUNCT
fcis-30252	174	1	this	this	DET
fcis-30252	174	2	mechanism	mechanism	NOUN
fcis-30252	174	3	works	work	VERB
fcis-30252	174	4	well	well	ADV
fcis-30252	174	5	on	on	ADP
fcis-30252	174	6	most	most	ADJ
fcis-30252	174	7	functions	function	NOUN
fcis-30252	174	8	as	as	SCONJ
fcis-30252	174	9	it	it	PRON
fcis-30252	174	10	maintains	maintain	VERB
fcis-30252	174	11	good	good	ADJ
fcis-30252	174	12	convergence	convergence	NOUN
fcis-30252	174	13	.	.	PUNCT
fcis-30252	175	1	however	however	ADV
fcis-30252	175	2	,	,	PUNCT
fcis-30252	175	3	on	on	ADP
fcis-30252	175	4	multi	multi	ADJ
fcis-30252	175	5	-	-	ADJ
fcis-30252	175	6	peak	peak	ADJ
fcis-30252	175	7	complex	complex	ADJ
fcis-30252	175	8	functions	function	NOUN
fcis-30252	175	9	such	such	ADJ
fcis-30252	175	10	as	as	ADP
fcis-30252	175	11	f5	f5	NOUN
fcis-30252	175	12	,	,	PUNCT
fcis-30252	175	13	over	over	ADP
fcis-30252	175	14	-	-	PUNCT
fcis-30252	175	15	reliance	reliance	NOUN
fcis-30252	175	16	on	on	ADP
fcis-30252	175	17	the	the	DET
fcis-30252	175	18	current	current	ADJ
fcis-30252	175	19	optimal	optimal	ADJ
fcis-30252	175	20	solution	solution	NOUN
fcis-30252	175	21	rather	rather	ADV
fcis-30252	175	22	limits	limit	VERB
fcis-30252	175	23	the	the	DET
fcis-30252	175	24	algorithm	algorithm	NOUN
fcis-30252	175	25	's	's	PART
fcis-30252	175	26	ability	ability	NOUN
fcis-30252	175	27	to	to	PART
fcis-30252	175	28	cross	cross	VERB
fcis-30252	175	29	local	local	ADJ
fcis-30252	175	30	peaks	peak	NOUN
fcis-30252	175	31	.	.	PUNCT
fcis-30252	176	1	gwo	gwo	PROPN
fcis-30252	176	2	guides	guide	VERB
fcis-30252	176	3	the	the	DET
fcis-30252	176	4	population	population	NOUN
fcis-30252	176	5	search	search	NOUN
fcis-30252	176	6	throughα	throughα	NOUN
fcis-30252	176	7	,	,	PUNCT
fcis-30252	176	8	β	β	X
fcis-30252	176	9	,	,	PUNCT
fcis-30252	176	10	δ	δ	PROPN
fcis-30252	176	11	three	three	NUM
fcis-30252	176	12	leaders	leader	NOUN
fcis-30252	176	13	jointly[16	jointly[16	PROPN
fcis-30252	176	14	]	]	PUNCT
fcis-30252	176	15	,	,	PUNCT
fcis-30252	176	16	and	and	CCONJ
fcis-30252	176	17	this	this	DET
fcis-30252	176	18	multi	multi	ADJ
fcis-30252	176	19	-	-	ADJ
fcis-30252	176	20	leader	leader	ADJ
fcis-30252	176	21	mechanism	mechanism	NOUN
fcis-30252	176	22	has	have	VERB
fcis-30252	176	23	a	a	DET
fcis-30252	176	24	natural	natural	ADJ
fcis-30252	176	25	advantage	advantage	NOUN
fcis-30252	176	26	when	when	SCONJ
fcis-30252	176	27	dealing	deal	VERB
fcis-30252	176	28	with	with	ADP
fcis-30252	176	29	highly	highly	ADV
fcis-30252	176	30	nonlinear	nonlinear	ADJ
fcis-30252	176	31	multi	multi	ADJ
fcis-30252	176	32	-	-	ADJ
fcis-30252	176	33	peak	peak	ADJ
fcis-30252	176	34	functions	function	NOUN
fcis-30252	176	35	such	such	ADJ
fcis-30252	176	36	as	as	ADP
fcis-30252	176	37	f5	f5	NOUN
fcis-30252	176	38	.	.	PUNCT
fcis-30252	177	1	to	to	PART
fcis-30252	177	2	summarize	summarize	VERB
fcis-30252	177	3	,	,	PUNCT
fcis-30252	177	4	messa	messa	PROPN
fcis-30252	177	5	has	have	VERB
fcis-30252	177	6	high	high	ADJ
fcis-30252	177	7	stability	stability	NOUN
fcis-30252	177	8	and	and	CCONJ
fcis-30252	177	9	significant	significant	ADJ
fcis-30252	177	10	performance	performance	NOUN
fcis-30252	177	11	in	in	ADP
fcis-30252	177	12	searching	search	VERB
fcis-30252	177	13	optimization	optimization	NOUN
fcis-30252	177	14	,	,	PUNCT
fcis-30252	177	15	which	which	PRON
fcis-30252	177	16	indicates	indicate	VERB
fcis-30252	177	17	that	that	SCONJ
fcis-30252	177	18	messa	messa	PROPN
fcis-30252	177	19	has	have	VERB
fcis-30252	177	20	strong	strong	ADJ
fcis-30252	177	21	competitiveness	competitiveness	NOUN
fcis-30252	177	22	compared	compare	VERB
fcis-30252	177	23	with	with	ADP
fcis-30252	177	24	the	the	DET
fcis-30252	177	25	comparison	comparison	NOUN
fcis-30252	177	26	algorithms	algorithm	NOUN
fcis-30252	177	27	,	,	PUNCT
fcis-30252	177	28	but	but	CCONJ
fcis-30252	177	29	there	there	PRON
fcis-30252	177	30	are	be	VERB
fcis-30252	177	31	still	still	ADV
fcis-30252	177	32	some	some	DET
fcis-30252	177	33	shortcomings	shortcoming	NOUN
fcis-30252	177	34	.	.	PUNCT
fcis-30252	178	1	4	4	X
fcis-30252	178	2	.	.	X
fcis-30252	178	3	ceemdan	ceemdan	PROPN
fcis-30252	178	4	and	and	CCONJ
fcis-30252	178	5	messa	messa	PROPN
fcis-30252	178	6	-	-	PUNCT
fcis-30252	178	7	svm	svm	PROPN
fcis-30252	178	8	based	base	VERB
fcis-30252	178	9	fault	fault	NOUN
fcis-30252	178	10	diagnostic	diagnostic	ADJ
fcis-30252	178	11	models	model	NOUN
fcis-30252	178	12	the	the	DET
fcis-30252	178	13	fault	fault	NOUN
fcis-30252	178	14	diagnosis	diagnosis	NOUN
fcis-30252	178	15	system	system	NOUN
fcis-30252	178	16	in	in	ADP
fcis-30252	178	17	this	this	DET
fcis-30252	178	18	study	study	NOUN
fcis-30252	178	19	incorporates	incorporate	VERB
fcis-30252	178	20	the	the	DET
fcis-30252	178	21	ceemdan	ceemdan	PROPN
fcis-30252	178	22	method	method	NOUN
fcis-30252	178	23	for	for	ADP
fcis-30252	178	24	effective	effective	ADJ
fcis-30252	178	25	decomposition	decomposition	NOUN
fcis-30252	178	26	of	of	ADP
fcis-30252	178	27	faulty	faulty	ADJ
fcis-30252	178	28	bearing	bear	VERB
fcis-30252	178	29	acoustic	acoustic	ADJ
fcis-30252	178	30	emission	emission	NOUN
fcis-30252	178	31	signals	signal	NOUN
fcis-30252	178	32	,	,	PUNCT
fcis-30252	178	33	while	while	SCONJ
fcis-30252	178	34	utilizing	utilize	VERB
fcis-30252	178	35	arrangement	arrangement	NOUN
fcis-30252	178	36	entropy	entropy	NOUN
fcis-30252	178	37	to	to	PART
fcis-30252	178	38	construct	construct	VERB
fcis-30252	178	39	a	a	DET
fcis-30252	178	40	feature	feature	NOUN
fcis-30252	178	41	file	file	NOUN
fcis-30252	178	42	.	.	PUNCT
fcis-30252	179	1	finally	finally	ADV
fcis-30252	179	2	,	,	PUNCT
fcis-30252	179	3	the	the	DET
fcis-30252	179	4	support	support	NOUN
fcis-30252	179	5	vector	vector	NOUN
fcis-30252	179	6	machine	machine	NOUN
fcis-30252	179	7	is	be	AUX
fcis-30252	179	8	optimized	optimize	VERB
fcis-30252	179	9	by	by	ADP
fcis-30252	179	10	enhanced	enhance	VERB
fcis-30252	179	11	multistrategy	multistrategy	PROPN
fcis-30252	179	12	sparrow	sparrow	PROPN
fcis-30252	179	13	search	search	NOUN
fcis-30252	179	14	algorithm	algorithm	NOUN
fcis-30252	179	15	to	to	PART
fcis-30252	179	16	construct	construct	VERB
fcis-30252	179	17	an	an	DET
fcis-30252	179	18	efficient	efficient	ADJ
fcis-30252	179	19	classification	classification	NOUN
fcis-30252	179	20	model	model	NOUN
fcis-30252	179	21	for	for	ADP
fcis-30252	179	22	fault	fault	NOUN
fcis-30252	179	23	diagnosis	diagnosis	NOUN
fcis-30252	179	24	[	[	X
fcis-30252	179	25	17	17	NUM
fcis-30252	179	26	]	]	PUNCT
fcis-30252	179	27	.	.	PUNCT
fcis-30252	180	1	the	the	DET
fcis-30252	180	2	specific	specific	ADJ
fcis-30252	180	3	steps	step	NOUN
fcis-30252	180	4	of	of	ADP
fcis-30252	180	5	this	this	DET
fcis-30252	180	6	fault	fault	NOUN
fcis-30252	180	7	diagnosis	diagnosis	NOUN
fcis-30252	180	8	model	model	NOUN
fcis-30252	180	9	are	be	AUX
fcis-30252	180	10	as	as	SCONJ
fcis-30252	180	11	follows	follow	VERB
fcis-30252	180	12	.	.	PUNCT
fcis-30252	181	1	step	step	NOUN
fcis-30252	181	2	1	1	NUM
fcis-30252	181	3	:	:	PUNCT
fcis-30252	181	4	acoustic	acoustic	ADJ
fcis-30252	181	5	emission	emission	NOUN
fcis-30252	181	6	experiment	experiment	NOUN
fcis-30252	181	7	(	(	PUNCT
fcis-30252	181	8	aee	aee	PROPN
fcis-30252	181	9	)	)	PUNCT
fcis-30252	181	10	to	to	PART
fcis-30252	181	11	collect	collect	VERB
fcis-30252	181	12	the	the	DET
fcis-30252	181	13	input	input	NOUN
fcis-30252	181	14	fault	fault	NOUN
fcis-30252	181	15	acoustic	acoustic	ADJ
fcis-30252	181	16	emission	emission	NOUN
fcis-30252	181	17	signal	signal	NOUN
fcis-30252	181	18	data	datum	NOUN
fcis-30252	181	19	to	to	PART
fcis-30252	181	20	ensure	ensure	VERB
fcis-30252	181	21	that	that	SCONJ
fcis-30252	181	22	the	the	DET
fcis-30252	181	23	signal	signal	NOUN
fcis-30252	181	24	is	be	AUX
fcis-30252	181	25	acquired	acquire	VERB
fcis-30252	181	26	under	under	ADP
fcis-30252	181	27	appropriate	appropriate	ADJ
fcis-30252	181	28	sampling	sampling	NOUN
fcis-30252	181	29	conditions	condition	NOUN
fcis-30252	181	30	.	.	PUNCT
fcis-30252	182	1	step	step	NOUN
fcis-30252	182	2	2	2	NUM
fcis-30252	182	3	:	:	PUNCT
fcis-30252	182	4	the	the	DET
fcis-30252	182	5	raw	raw	ADJ
fcis-30252	182	6	acoustic	acoustic	ADJ
fcis-30252	182	7	emission	emission	NOUN
fcis-30252	182	8	signals	signal	NOUN
fcis-30252	182	9	are	be	AUX
fcis-30252	182	10	decomposed	decompose	VERB
fcis-30252	182	11	using	use	VERB
fcis-30252	182	12	the	the	DET
fcis-30252	182	13	ceemdan	ceemdan	ADJ
fcis-30252	182	14	method	method	NOUN
fcis-30252	182	15	to	to	PART
fcis-30252	182	16	obtain	obtain	VERB
fcis-30252	182	17	the	the	DET
fcis-30252	182	18	imf	imf	PROPN
fcis-30252	182	19	components	component	NOUN
fcis-30252	182	20	for	for	ADP
fcis-30252	182	21	different	different	ADJ
fcis-30252	182	22	fault	fault	NOUN
fcis-30252	182	23	types	type	NOUN
fcis-30252	182	24	.	.	PUNCT
fcis-30252	183	1	step	step	NOUN
fcis-30252	183	2	3	3	NUM
fcis-30252	183	3	:	:	PUNCT
fcis-30252	183	4	calculate	calculate	VERB
fcis-30252	183	5	the	the	DET
fcis-30252	183	6	importance	importance	NOUN
fcis-30252	183	7	of	of	ADP
fcis-30252	183	8	each	each	DET
fcis-30252	183	9	component	component	NOUN
fcis-30252	183	10	according	accord	VERB
fcis-30252	183	11	to	to	ADP
fcis-30252	183	12	the	the	DET
fcis-30252	183	13	weights	weight	NOUN
fcis-30252	183	14	of	of	ADP
fcis-30252	183	15	the	the	DET
fcis-30252	183	16	craggy	craggy	ADJ
fcis-30252	183	17	-	-	PUNCT
fcis-30252	183	18	correlation	correlation	NOUN
fcis-30252	183	19	features	feature	NOUN
fcis-30252	183	20	,	,	PUNCT
fcis-30252	183	21	select	select	VERB
fcis-30252	183	22	the	the	DET
fcis-30252	183	23	top	top	ADJ
fcis-30252	183	24	5	5	NUM
fcis-30252	183	25	components	component	NOUN
fcis-30252	183	26	with	with	ADP
fcis-30252	183	27	p	p	NOUN
fcis-30252	183	28	-	-	PUNCT
fcis-30252	183	29	value	value	NOUN
fcis-30252	183	30	,	,	PUNCT
fcis-30252	183	31	calculate	calculate	VERB
fcis-30252	183	32	the	the	DET
fcis-30252	183	33	entropy	entropy	PROPN
fcis-30252	183	34	eigenvalue	eigenvalue	PROPN
fcis-30252	183	35	of	of	ADP
fcis-30252	183	36	their	their	PRON
fcis-30252	183	37	alignment	alignment	NOUN
fcis-30252	183	38	,	,	PUNCT
fcis-30252	183	39	and	and	CCONJ
fcis-30252	183	40	construct	construct	VERB
fcis-30252	183	41	the	the	DET
fcis-30252	183	42	feature	feature	NOUN
fcis-30252	183	43	file	file	NOUN
fcis-30252	183	44	.	.	PUNCT
fcis-30252	184	1	step	step	NOUN
fcis-30252	184	2	4	4	NUM
fcis-30252	184	3	:	:	PUNCT
fcis-30252	184	4	divide	divide	VERB
fcis-30252	184	5	the	the	DET
fcis-30252	184	6	feature	feature	NOUN
fcis-30252	184	7	vector	vector	NOUN
fcis-30252	184	8	dataset	dataset	NOUN
fcis-30252	184	9	obtained	obtain	VERB
fcis-30252	184	10	in	in	ADP
fcis-30252	184	11	step	step	NOUN
fcis-30252	184	12	3	3	NUM
fcis-30252	184	13	into	into	ADP
fcis-30252	184	14	a	a	DET
fcis-30252	184	15	training	training	NOUN
fcis-30252	184	16	set	set	NOUN
fcis-30252	184	17	and	and	CCONJ
fcis-30252	184	18	a	a	DET
fcis-30252	184	19	test	test	NOUN
fcis-30252	184	20	set	set	NOUN
fcis-30252	184	21	,	,	PUNCT
fcis-30252	184	22	and	and	CCONJ
fcis-30252	184	23	use	use	VERB
fcis-30252	184	24	the	the	DET
fcis-30252	184	25	training	training	NOUN
fcis-30252	184	26	set	set	VERB
fcis-30252	184	27	in	in	ADP
fcis-30252	184	28	conjunction	conjunction	NOUN
fcis-30252	184	29	with	with	ADP
fcis-30252	184	30	the	the	DET
fcis-30252	184	31	messa	messa	PROPN
fcis-30252	184	32	algorithm	algorithm	NOUN
fcis-30252	184	33	for	for	ADP
fcis-30252	184	34	parameter	parameter	NOUN
fcis-30252	184	35	optimization	optimization	NOUN
fcis-30252	184	36	and	and	CCONJ
fcis-30252	184	37	training	training	NOUN
fcis-30252	184	38	of	of	ADP
fcis-30252	184	39	the	the	DET
fcis-30252	184	40	svm	svm	PROPN
fcis-30252	184	41	.	.	PROPN
fcis-30252	185	1	step	step	NOUN
fcis-30252	185	2	5	5	NUM
fcis-30252	185	3	:	:	PUNCT
fcis-30252	185	4	the	the	DET
fcis-30252	185	5	optimized	optimize	VERB
fcis-30252	185	6	messa	messa	ADJ
fcis-30252	185	7	-	-	PUNCT
fcis-30252	185	8	svm	svm	ADJ
fcis-30252	185	9	model	model	NOUN
fcis-30252	185	10	is	be	AUX
fcis-30252	185	11	tested	test	VERB
fcis-30252	185	12	for	for	ADP
fcis-30252	185	13	fault	fault	NOUN
fcis-30252	185	14	classification	classification	NOUN
fcis-30252	185	15	using	use	VERB
fcis-30252	185	16	the	the	DET
fcis-30252	185	17	partitioned	partition	VERB
fcis-30252	185	18	test	test	NOUN
fcis-30252	185	19	set	set	VERB
fcis-30252	185	20	and	and	CCONJ
fcis-30252	185	21	the	the	DET
fcis-30252	185	22	final	final	ADJ
fcis-30252	185	23	fault	fault	NOUN
fcis-30252	185	24	classification	classification	NOUN
fcis-30252	185	25	results	result	NOUN
fcis-30252	185	26	are	be	AUX
fcis-30252	185	27	output	output	NOUN
fcis-30252	185	28	.	.	PUNCT
fcis-30252	186	1	5	5	X
fcis-30252	186	2	.	.	X
fcis-30252	186	3	experimental	experimental	ADJ
fcis-30252	186	4	validation	validation	NOUN
fcis-30252	186	5	5.1	5.1	NUM
fcis-30252	186	6	.	.	PUNCT
fcis-30252	187	1	data	datum	NOUN
fcis-30252	187	2	selection	selection	NOUN
fcis-30252	187	3	the	the	DET
fcis-30252	187	4	physical	physical	ADJ
fcis-30252	187	5	diagram	diagram	NOUN
fcis-30252	187	6	of	of	ADP
fcis-30252	187	7	the	the	DET
fcis-30252	187	8	bearing	bear	VERB
fcis-30252	187	9	acoustic	acoustic	ADJ
fcis-30252	187	10	emission	emission	NOUN
fcis-30252	187	11	detection	detection	NOUN
fcis-30252	187	12	experimental	experimental	ADJ
fcis-30252	187	13	platform	platform	NOUN
fcis-30252	187	14	of	of	ADP
fcis-30252	187	15	this	this	DET
fcis-30252	187	16	study	study	NOUN
fcis-30252	187	17	is	be	AUX
fcis-30252	187	18	shown	show	VERB
fcis-30252	187	19	in	in	ADP
fcis-30252	187	20	figure	figure	NOUN
fcis-30252	187	21	3	3	NUM
fcis-30252	187	22	.	.	PUNCT
fcis-30252	188	1	the	the	DET
fcis-30252	188	2	experiment	experiment	NOUN
fcis-30252	188	3	uses	use	VERB
fcis-30252	188	4	nu205em	nu205em	PRON
fcis-30252	188	5	cylindrical	cylindrical	ADJ
fcis-30252	188	6	roller	roller	NOUN
fcis-30252	188	7	bearings	bearing	NOUN
fcis-30252	188	8	as	as	ADP
fcis-30252	188	9	the	the	DET
fcis-30252	188	10	test	test	NOUN
fcis-30252	188	11	object	object	NOUN
fcis-30252	188	12	,	,	PUNCT
fcis-30252	188	13	configured	configure	VERB
fcis-30252	188	14	with	with	ADP
fcis-30252	188	15	a	a	DET
fcis-30252	188	16	two	two	NUM
fcis-30252	188	17	-	-	PUNCT
fcis-30252	188	18	channel	channel	NOUN
fcis-30252	188	19	acoustic	acoustic	ADJ
fcis-30252	188	20	emission	emission	NOUN
fcis-30252	188	21	signal	signal	NOUN
fcis-30252	188	22	acquisition	acquisition	NOUN
fcis-30252	188	23	program	program	NOUN
fcis-30252	188	24	,	,	PUNCT
fcis-30252	188	25	the	the	DET
fcis-30252	188	26	sensor	sensor	NOUN
fcis-30252	188	27	arrangement	arrangement	NOUN
fcis-30252	188	28	location	location	NOUN
fcis-30252	188	29	was	be	AUX
fcis-30252	188	30	the	the	DET
fcis-30252	188	31	upper	upper	ADJ
fcis-30252	188	32	surface	surface	NOUN
fcis-30252	188	33	of	of	ADP
fcis-30252	188	34	the	the	DET
fcis-30252	188	35	test	test	NOUN
fcis-30252	188	36	bearing	bear	VERB
fcis-30252	188	37	housing	housing	NOUN
fcis-30252	188	38	and	and	CCONJ
fcis-30252	188	39	the	the	DET
fcis-30252	188	40	neighboring	neighboring	NOUN
fcis-30252	188	41	shaft	shaft	NOUN
fcis-30252	188	42	system	system	NOUN
fcis-30252	188	43	platform	platform	NOUN
fcis-30252	188	44	area	area	NOUN
fcis-30252	188	45	.	.	PUNCT
fcis-30252	189	1	the	the	DET
fcis-30252	189	2	data	data	NOUN
fcis-30252	189	3	acquisition	acquisition	NOUN
fcis-30252	189	4	equipment	equipment	NOUN
fcis-30252	189	5	is	be	AUX
fcis-30252	189	6	pci-2	pci-2	PART
fcis-30252	189	7	acoustic	acoustic	ADJ
fcis-30252	189	8	emission	emission	NOUN
fcis-30252	189	9	system	system	NOUN
fcis-30252	189	10	(	(	PUNCT
fcis-30252	189	11	made	make	VERB
fcis-30252	189	12	in	in	ADP
fcis-30252	189	13	usa	usa	PROPN
fcis-30252	189	14	)	)	PUNCT
fcis-30252	189	15	.	.	PUNCT
fcis-30252	190	1	the	the	DET
fcis-30252	190	2	experimental	experimental	ADJ
fcis-30252	190	3	design	design	NOUN
fcis-30252	190	4	included	include	VERB
fcis-30252	190	5	three	three	NUM
fcis-30252	190	6	bearing	bearing	NOUN
fcis-30252	190	7	conditions	condition	NOUN
fcis-30252	190	8	:	:	PUNCT
fcis-30252	190	9	cage	cage	NOUN
fcis-30252	190	10	damage	damage	NOUN
fcis-30252	190	11	,	,	PUNCT
fcis-30252	190	12	outer	outer	ADJ
fcis-30252	190	13	ring	ring	NOUN
fcis-30252	190	14	defects	defect	NOUN
fcis-30252	190	15	,	,	PUNCT
fcis-30252	190	16	and	and	CCONJ
fcis-30252	190	17	inner	inner	ADJ
fcis-30252	190	18	ring	ring	NOUN
fcis-30252	190	19	failures	failure	NOUN
fcis-30252	190	20	,	,	PUNCT
fcis-30252	190	21	and	and	CCONJ
fcis-30252	190	22	the	the	DET
fcis-30252	190	23	tests	test	NOUN
fcis-30252	190	24	were	be	AUX
fcis-30252	190	25	conducted	conduct	VERB
fcis-30252	190	26	at	at	ADP
fcis-30252	190	27	three	three	NUM
fcis-30252	190	28	rotational	rotational	ADJ
fcis-30252	190	29	speeds	speed	NOUN
fcis-30252	190	30	:	:	PUNCT
fcis-30252	190	31	600	600	NUM
fcis-30252	190	32	,	,	PUNCT
fcis-30252	190	33	900	900	NUM
fcis-30252	190	34	,	,	PUNCT
fcis-30252	190	35	and	and	CCONJ
fcis-30252	190	36	1200	1200	NUM
fcis-30252	190	37	r	r	X
fcis-30252	190	38	-	-	PUNCT
fcis-30252	190	39	min-¹.	min-¹.	NOUN
fcis-30252	190	40	a	a	DET
fcis-30252	190	41	total	total	NOUN
fcis-30252	190	42	of	of	ADP
fcis-30252	190	43	three	three	NUM
fcis-30252	190	44	classes	class	NOUN
fcis-30252	190	45	of	of	ADP
fcis-30252	190	46	labeled	label	VERB
fcis-30252	190	47	data	datum	NOUN
fcis-30252	190	48	were	be	AUX
fcis-30252	190	49	constructed	construct	VERB
fcis-30252	190	50	for	for	ADP
fcis-30252	190	51	the	the	DET
fcis-30252	190	52	experiments	experiment	NOUN
fcis-30252	190	53	,	,	PUNCT
fcis-30252	190	54	each	each	DET
fcis-30252	190	55	class	class	NOUN
fcis-30252	190	56	containing	contain	VERB
fcis-30252	190	57	100	100	NUM
fcis-30252	190	58	sets	set	NOUN
fcis-30252	190	59	of	of	ADP
fcis-30252	190	60	samples	sample	NOUN
fcis-30252	190	61	,	,	PUNCT
fcis-30252	190	62	and	and	CCONJ
fcis-30252	190	63	the	the	DET
fcis-30252	190	64	training	training	NOUN
fcis-30252	190	65	and	and	CCONJ
fcis-30252	190	66	test	test	NOUN
fcis-30252	190	67	sets	set	NOUN
fcis-30252	190	68	were	be	AUX
fcis-30252	190	69	divided	divide	VERB
fcis-30252	190	70	according	accord	VERB
fcis-30252	190	71	to	to	ADP
fcis-30252	190	72	the	the	DET
fcis-30252	190	73	ratio	ratio	NOUN
fcis-30252	190	74	of	of	ADP
fcis-30252	190	75	8:2	8:2	NUM
fcis-30252	190	76	,	,	PUNCT
fcis-30252	190	77	i.e.	i.e.	X
fcis-30252	190	78	,	,	PUNCT
fcis-30252	190	79	80	80	NUM
fcis-30252	190	80	sets	set	NOUN
fcis-30252	190	81	of	of	ADP
fcis-30252	190	82	each	each	DET
fcis-30252	190	83	class	class	NOUN
fcis-30252	190	84	were	be	AUX
fcis-30252	190	85	selected	select	VERB
fcis-30252	190	86	for	for	ADP
fcis-30252	190	87	training	training	NOUN
fcis-30252	190	88	,	,	PUNCT
fcis-30252	190	89	and	and	CCONJ
fcis-30252	190	90	the	the	DET
fcis-30252	190	91	remaining	remain	VERB
fcis-30252	190	92	20	20	NUM
fcis-30252	190	93	sets	set	NOUN
fcis-30252	190	94	were	be	AUX
fcis-30252	190	95	used	use	VERB
fcis-30252	190	96	for	for	ADP
fcis-30252	190	97	test	test	NOUN
fcis-30252	190	98	validation	validation	NOUN
fcis-30252	190	99	.	.	PUNCT
fcis-30252	191	1	figure	figure	NOUN
fcis-30252	191	2	3	3	NUM
fcis-30252	191	3	.	.	PUNCT
fcis-30252	191	4	acoustic	acoustic	ADJ
fcis-30252	191	5	emission	emission	NOUN
fcis-30252	191	6	monitoring	monitoring	NOUN
fcis-30252	191	7	test	test	NOUN
fcis-30252	191	8	setup	setup	NOUN
fcis-30252	191	9	5.2	5.2	NUM
fcis-30252	191	10	.	.	PUNCT
fcis-30252	192	1	feature	feature	NOUN
fcis-30252	192	2	extraction	extraction	NOUN
fcis-30252	192	3	first	first	ADV
fcis-30252	192	4	,	,	PUNCT
fcis-30252	192	5	taking	take	VERB
fcis-30252	192	6	the	the	DET
fcis-30252	192	7	bearing	bear	VERB
fcis-30252	192	8	acoustic	acoustic	ADJ
fcis-30252	192	9	emission	emission	NOUN
fcis-30252	192	10	signal	signal	NOUN
fcis-30252	192	11	600r	600r	NUM
fcis-30252	192	12	inner	inner	ADJ
fcis-30252	192	13	ring	ring	NOUN
fcis-30252	192	14	fault	fault	NOUN
fcis-30252	192	15	as	as	ADP
fcis-30252	192	16	an	an	DET
fcis-30252	192	17	example	example	NOUN
fcis-30252	192	18	,	,	PUNCT
fcis-30252	192	19	the	the	DET
fcis-30252	192	20	acoustic	acoustic	ADJ
fcis-30252	192	21	emission	emission	NOUN
fcis-30252	192	22	data	datum	NOUN
fcis-30252	192	23	are	be	AUX
fcis-30252	192	24	decomposed	decompose	VERB
fcis-30252	192	25	by	by	ADP
fcis-30252	192	26	ceemdan	ceemdan	NOUN
fcis-30252	192	27	to	to	PART
fcis-30252	192	28	obtain	obtain	VERB
fcis-30252	192	29	multiple	multiple	ADJ
fcis-30252	192	30	imf	imf	PROPN
fcis-30252	192	31	146	146	NUM
fcis-30252	192	32	components	component	NOUN
fcis-30252	192	33	.	.	PUNCT
fcis-30252	193	1	the	the	DET
fcis-30252	193	2	first	first	ADJ
fcis-30252	193	3	5	5	NUM
fcis-30252	193	4	components	component	NOUN
fcis-30252	193	5	with	with	ADP
fcis-30252	193	6	the	the	DET
fcis-30252	193	7	largest	large	ADJ
fcis-30252	193	8	p	p	NOUN
fcis-30252	193	9	-	-	PUNCT
fcis-30252	193	10	value	value	NOUN
fcis-30252	193	11	are	be	AUX
fcis-30252	193	12	calculated	calculate	VERB
fcis-30252	193	13	and	and	CCONJ
fcis-30252	193	14	selected	select	VERB
fcis-30252	193	15	by	by	ADP
fcis-30252	193	16	using	use	VERB
fcis-30252	193	17	the	the	DET
fcis-30252	193	18	weighted	weight	VERB
fcis-30252	193	19	component	component	NOUN
fcis-30252	193	20	screening	screening	NOUN
fcis-30252	193	21	method	method	NOUN
fcis-30252	193	22	of	of	ADP
fcis-30252	193	23	cliff	cliff	NOUN
fcis-30252	193	24	-	-	PUNCT
fcis-30252	193	25	correlation	correlation	NOUN
fcis-30252	193	26	feature	feature	NOUN
fcis-30252	193	27	,	,	PUNCT
fcis-30252	193	28	as	as	SCONJ
fcis-30252	193	29	shown	show	VERB
fcis-30252	193	30	in	in	ADP
fcis-30252	193	31	table	table	NOUN
fcis-30252	193	32	3	3	NUM
fcis-30252	193	33	.	.	PUNCT
fcis-30252	194	1	the	the	DET
fcis-30252	194	2	top	top	ADJ
fcis-30252	194	3	5	5	NUM
fcis-30252	194	4	imf	imf	PROPN
fcis-30252	194	5	components	component	NOUN
fcis-30252	194	6	are	be	AUX
fcis-30252	194	7	selected	select	VERB
fcis-30252	194	8	to	to	PART
fcis-30252	194	9	contain	contain	VERB
fcis-30252	194	10	the	the	DET
fcis-30252	194	11	vast	vast	ADJ
fcis-30252	194	12	majority	majority	NOUN
fcis-30252	194	13	of	of	ADP
fcis-30252	194	14	the	the	DET
fcis-30252	194	15	effective	effective	ADJ
fcis-30252	194	16	information	information	NOUN
fcis-30252	194	17	of	of	ADP
fcis-30252	194	18	the	the	DET
fcis-30252	194	19	original	original	ADJ
fcis-30252	194	20	signal	signal	NOUN
fcis-30252	194	21	,	,	PUNCT
fcis-30252	194	22	but	but	CCONJ
fcis-30252	194	23	also	also	ADV
fcis-30252	194	24	effectively	effectively	ADV
fcis-30252	194	25	avoid	avoid	VERB
fcis-30252	194	26	the	the	DET
fcis-30252	194	27	problems	problem	NOUN
fcis-30252	194	28	of	of	ADP
fcis-30252	194	29	timeconsuming	timeconsuming	ADJ
fcis-30252	194	30	and	and	CCONJ
fcis-30252	194	31	long	long	ADJ
fcis-30252	194	32	redundancy	redundancy	NOUN
fcis-30252	194	33	in	in	ADP
fcis-30252	194	34	diagnosis	diagnosis	NOUN
fcis-30252	194	35	caused	cause	VERB
fcis-30252	194	36	by	by	ADP
fcis-30252	194	37	too	too	ADV
fcis-30252	194	38	much	much	ADJ
fcis-30252	194	39	component	component	NOUN
fcis-30252	194	40	data[17	data[17	VERB
fcis-30252	194	41	]	]	PUNCT
fcis-30252	194	42	.	.	PUNCT
fcis-30252	195	1	table	table	NOUN
fcis-30252	195	2	3	3	NUM
fcis-30252	195	3	.	.	PUNCT
fcis-30252	196	1	imf	imf	PROPN
fcis-30252	196	2	component	component	PROPN
fcis-30252	196	3	p	p	NOUN
fcis-30252	196	4	-	-	PUNCT
fcis-30252	196	5	values	value	NOUN
fcis-30252	196	6	imf	imf	PROPN
fcis-30252	196	7	component	component	NOUN
fcis-30252	196	8	imf1	imf1	PROPN
fcis-30252	196	9	imf2	imf2	VERB
fcis-30252	196	10	imf3	imf3	PROPN
fcis-30252	197	1	imf4	imf4	PROPN
fcis-30252	197	2	p	p	NOUN
fcis-30252	197	3	-	-	PUNCT
fcis-30252	197	4	value	value	NOUN
fcis-30252	198	1	8.81	8.81	NUM
fcis-30252	198	2	5.17	5.17	NUM
fcis-30252	198	3	0.33	0.33	NUM
fcis-30252	198	4	0.17	0.17	NUM
fcis-30252	198	5	imf	imf	PROPN
fcis-30252	198	6	component	component	NOUN
fcis-30252	198	7	imf5	imf5	PROPN
fcis-30252	198	8	imf6	imf6	PROPN
fcis-30252	198	9	imf7	imf7	PROPN
fcis-30252	198	10	imf8	imf8	PROPN
fcis-30252	198	11	p	p	NUM
fcis-30252	198	12	-	-	PUNCT
fcis-30252	198	13	value	value	NOUN
fcis-30252	198	14	-0.60	-0.60	NOUN
fcis-30252	198	15	0.13	0.13	NUM
fcis-30252	198	16	-1.52	-1.52	NOUN
fcis-30252	198	17	-1.51	-1.51	NOUN
fcis-30252	198	18	the	the	DET
fcis-30252	198	19	arrangement	arrangement	NOUN
fcis-30252	198	20	entropy	entropy	NOUN
fcis-30252	198	21	is	be	AUX
fcis-30252	198	22	solved	solve	VERB
fcis-30252	198	23	for	for	ADP
fcis-30252	198	24	the	the	DET
fcis-30252	198	25	first	first	ADJ
fcis-30252	198	26	five	five	NUM
fcis-30252	198	27	imf	imf	PROPN
fcis-30252	198	28	components	component	NOUN
fcis-30252	198	29	selected	select	VERB
fcis-30252	198	30	by	by	ADP
fcis-30252	198	31	using	use	VERB
fcis-30252	198	32	the	the	DET
fcis-30252	198	33	p	p	NOUN
fcis-30252	198	34	value	value	NOUN
fcis-30252	198	35	,	,	PUNCT
fcis-30252	198	36	and	and	CCONJ
fcis-30252	198	37	then	then	ADV
fcis-30252	198	38	normalized	normalize	VERB
fcis-30252	198	39	to	to	PART
fcis-30252	198	40	construct	construct	VERB
fcis-30252	198	41	the	the	DET
fcis-30252	198	42	feature	feature	NOUN
fcis-30252	198	43	vectors	vector	NOUN
fcis-30252	198	44	to	to	PART
fcis-30252	198	45	obtain	obtain	VERB
fcis-30252	198	46	the	the	DET
fcis-30252	198	47	feature	feature	NOUN
fcis-30252	198	48	vector	vector	NOUN
fcis-30252	198	49	set	set	VERB
fcis-30252	198	50	of100	of100	NOUN
fcis-30252	198	51	5	5	NUM
fcis-30252	198	52	.	.	PUNCT
fcis-30252	199	1	the	the	DET
fcis-30252	199	2	imf1	imf1	PROPN
fcis-30252	199	3	arrangement	arrangement	NOUN
fcis-30252	199	4	entropy	entropy	NOUN
fcis-30252	199	5	of	of	ADP
fcis-30252	199	6	8	8	NUM
fcis-30252	199	7	sets	set	NOUN
fcis-30252	199	8	of	of	ADP
fcis-30252	199	9	data	datum	NOUN
fcis-30252	199	10	for	for	ADP
fcis-30252	199	11	each	each	PRON
fcis-30252	199	12	of	of	ADP
fcis-30252	199	13	the	the	DET
fcis-30252	199	14	3	3	NUM
fcis-30252	199	15	faulty	faulty	ADJ
fcis-30252	199	16	operating	operating	NOUN
fcis-30252	199	17	states	state	NOUN
fcis-30252	199	18	of	of	ADP
fcis-30252	199	19	rolling	rolling	ADJ
fcis-30252	199	20	bearings	bearing	NOUN
fcis-30252	199	21	is	be	AUX
fcis-30252	199	22	illustrated	illustrate	VERB
fcis-30252	199	23	as	as	ADP
fcis-30252	199	24	an	an	DET
fcis-30252	199	25	example	example	NOUN
fcis-30252	199	26	,	,	PUNCT
fcis-30252	199	27	see	see	VERB
fcis-30252	199	28	fig	fig	NOUN
fcis-30252	199	29	.	.	PUNCT
fcis-30252	200	1	4	4	X
fcis-30252	200	2	.	.	X
fcis-30252	200	3	figure	figure	NOUN
fcis-30252	200	4	4	4	NUM
fcis-30252	200	5	.	.	PUNCT
fcis-30252	200	6	entropy	entropy	PROPN
fcis-30252	200	7	value	value	NOUN
fcis-30252	200	8	of	of	ADP
fcis-30252	200	9	imf1	imf1	PROPN
fcis-30252	200	10	arrangement	arrangement	NOUN
fcis-30252	200	11	in	in	ADP
fcis-30252	200	12	different	different	ADJ
fcis-30252	200	13	states	state	NOUN
fcis-30252	200	14	5.3	5.3	NUM
fcis-30252	200	15	.	.	PUNCT
fcis-30252	201	1	svm	svm	ADJ
fcis-30252	201	2	recognition	recognition	NOUN
fcis-30252	201	3	of	of	ADP
fcis-30252	201	4	bearing	bear	VERB
fcis-30252	201	5	faults	fault	NOUN
fcis-30252	201	6	during	during	ADP
fcis-30252	201	7	training	training	NOUN
fcis-30252	201	8	,	,	PUNCT
fcis-30252	201	9	the	the	DET
fcis-30252	201	10	outer	outer	ADJ
fcis-30252	201	11	ring	ring	NOUN
fcis-30252	201	12	bearing	bear	VERB
fcis-30252	201	13	fault	fault	NOUN
fcis-30252	201	14	features	feature	NOUN
fcis-30252	201	15	are	be	AUX
fcis-30252	201	16	labeled	label	VERB
fcis-30252	201	17	as	as	ADP
fcis-30252	201	18	1	1	NUM
fcis-30252	201	19	,	,	PUNCT
fcis-30252	201	20	rolling	rolling	ADJ
fcis-30252	201	21	element	element	NOUN
fcis-30252	201	22	fault	fault	NOUN
fcis-30252	201	23	features	feature	NOUN
fcis-30252	201	24	are	be	AUX
fcis-30252	201	25	labeled	label	VERB
fcis-30252	201	26	as	as	ADP
fcis-30252	201	27	2	2	NUM
fcis-30252	201	28	,	,	PUNCT
fcis-30252	201	29	and	and	CCONJ
fcis-30252	201	30	inner	inner	ADJ
fcis-30252	201	31	ring	ring	NOUN
fcis-30252	201	32	fault	fault	NOUN
fcis-30252	201	33	features	feature	NOUN
fcis-30252	201	34	are	be	AUX
fcis-30252	201	35	labeled	label	VERB
fcis-30252	201	36	as	as	ADP
fcis-30252	201	37	3	3	NUM
fcis-30252	201	38	.	.	PUNCT
fcis-30252	202	1	in	in	ADP
fcis-30252	202	2	order	order	NOUN
fcis-30252	202	3	to	to	PART
fcis-30252	202	4	highlight	highlight	VERB
fcis-30252	202	5	the	the	DET
fcis-30252	202	6	advantages	advantage	NOUN
fcis-30252	202	7	of	of	ADP
fcis-30252	202	8	the	the	DET
fcis-30252	202	9	craggy	craggy	ADJ
fcis-30252	202	10	-	-	PUNCT
fcis-30252	202	11	correlation	correlation	NOUN
fcis-30252	202	12	featurebased	featurebase	VERB
fcis-30252	202	13	weight	weight	NOUN
fcis-30252	202	14	component	component	NOUN
fcis-30252	202	15	screening	screening	NOUN
fcis-30252	202	16	method	method	NOUN
fcis-30252	202	17	proposed	propose	VERB
fcis-30252	202	18	in	in	ADP
fcis-30252	202	19	this	this	DET
fcis-30252	202	20	paper	paper	NOUN
fcis-30252	202	21	,	,	PUNCT
fcis-30252	202	22	three	three	NUM
fcis-30252	202	23	groups	group	NOUN
fcis-30252	202	24	of	of	ADP
fcis-30252	202	25	comparative	comparative	ADJ
fcis-30252	202	26	experiments	experiment	NOUN
fcis-30252	202	27	are	be	AUX
fcis-30252	202	28	designed	design	VERB
fcis-30252	202	29	in	in	ADP
fcis-30252	202	30	this	this	DET
fcis-30252	202	31	study	study	NOUN
fcis-30252	202	32	,	,	PUNCT
fcis-30252	202	33	which	which	PRON
fcis-30252	202	34	are	be	AUX
fcis-30252	202	35	identified	identify	VERB
fcis-30252	202	36	using	use	VERB
fcis-30252	202	37	ordinary	ordinary	ADJ
fcis-30252	202	38	svm	svm	NOUN
fcis-30252	202	39	.	.	PUNCT
fcis-30252	203	1	the	the	DET
fcis-30252	203	2	first	first	ADJ
fcis-30252	203	3	group	group	NOUN
fcis-30252	203	4	uses	use	VERB
fcis-30252	203	5	eemd	eemd	NOUN
fcis-30252	203	6	decomposition	decomposition	NOUN
fcis-30252	203	7	and	and	CCONJ
fcis-30252	203	8	directly	directly	ADV
fcis-30252	203	9	selects	select	VERB
fcis-30252	203	10	the	the	DET
fcis-30252	203	11	alignment	alignment	NOUN
fcis-30252	203	12	entropy	entropy	NOUN
fcis-30252	203	13	of	of	ADP
fcis-30252	203	14	the	the	DET
fcis-30252	203	15	first	first	ADJ
fcis-30252	203	16	5	5	NUM
fcis-30252	203	17	imf	imf	PROPN
fcis-30252	203	18	components	component	NOUN
fcis-30252	203	19	as	as	ADP
fcis-30252	203	20	features	feature	NOUN
fcis-30252	203	21	;	;	PUNCT
fcis-30252	203	22	the	the	DET
fcis-30252	203	23	second	second	ADJ
fcis-30252	203	24	group	group	NOUN
fcis-30252	203	25	applies	apply	VERB
fcis-30252	203	26	crag	crag	NOUN
fcis-30252	203	27	-	-	PUNCT
fcis-30252	203	28	correlation	correlation	NOUN
fcis-30252	203	29	feature	feature	NOUN
fcis-30252	203	30	screening	screening	NOUN
fcis-30252	203	31	after	after	ADP
fcis-30252	203	32	eemd	eemd	PROPN
fcis-30252	203	33	decomposition	decomposition	NOUN
fcis-30252	203	34	selection	selection	NOUN
fcis-30252	203	35	method	method	NOUN
fcis-30252	203	36	,	,	PUNCT
fcis-30252	203	37	by	by	ADP
fcis-30252	203	38	calculating	calculate	VERB
fcis-30252	203	39	the	the	DET
fcis-30252	203	40	crag	crag	NOUN
fcis-30252	203	41	and	and	CCONJ
fcis-30252	203	42	the	the	DET
fcis-30252	203	43	pearson	pearson	PROPN
fcis-30252	203	44	correlation	correlation	NOUN
fcis-30252	203	45	coefficient	coefficient	NOUN
fcis-30252	203	46	of	of	ADP
fcis-30252	203	47	each	each	DET
fcis-30252	203	48	imf	imf	NOUN
fcis-30252	203	49	with	with	ADP
fcis-30252	203	50	the	the	DET
fcis-30252	203	51	original	original	ADJ
fcis-30252	203	52	signal	signal	NOUN
fcis-30252	203	53	,	,	PUNCT
fcis-30252	203	54	the	the	DET
fcis-30252	203	55	five	five	NUM
fcis-30252	203	56	components	component	NOUN
fcis-30252	203	57	with	with	ADP
fcis-30252	203	58	the	the	DET
fcis-30252	203	59	largest	large	ADJ
fcis-30252	203	60	p	p	NOUN
fcis-30252	203	61	-	-	PUNCT
fcis-30252	203	62	value	value	NOUN
fcis-30252	203	63	are	be	AUX
fcis-30252	203	64	screened	screen	VERB
fcis-30252	203	65	out	out	ADP
fcis-30252	203	66	,	,	PUNCT
fcis-30252	203	67	and	and	CCONJ
fcis-30252	203	68	the	the	DET
fcis-30252	203	69	arrangement	arrangement	NOUN
fcis-30252	203	70	entropy	entropy	NOUN
fcis-30252	203	71	of	of	ADP
fcis-30252	203	72	these	these	DET
fcis-30252	203	73	five	five	NUM
fcis-30252	203	74	sensitive	sensitive	ADJ
fcis-30252	203	75	feature	feature	NOUN
fcis-30252	203	76	components	component	NOUN
fcis-30252	203	77	is	be	AUX
fcis-30252	203	78	calculated	calculate	VERB
fcis-30252	203	79	as	as	ADP
fcis-30252	203	80	the	the	DET
fcis-30252	203	81	features	feature	NOUN
fcis-30252	203	82	.	.	PUNCT
fcis-30252	204	1	the	the	DET
fcis-30252	204	2	third	third	ADJ
fcis-30252	204	3	group	group	NOUN
fcis-30252	204	4	applies	apply	VERB
fcis-30252	204	5	the	the	DET
fcis-30252	204	6	crag	crag	NOUN
fcis-30252	204	7	-	-	PUNCT
fcis-30252	204	8	correlation	correlation	NOUN
fcis-30252	204	9	feature	feature	NOUN
fcis-30252	204	10	screening	screening	NOUN
fcis-30252	204	11	method	method	NOUN
fcis-30252	204	12	after	after	SCONJ
fcis-30252	204	13	ceemdan	ceemdan	ADJ
fcis-30252	204	14	decomposition	decomposition	NOUN
fcis-30252	204	15	to	to	PART
fcis-30252	204	16	screen	screen	VERB
fcis-30252	204	17	the	the	DET
fcis-30252	204	18	arrangement	arrangement	NOUN
fcis-30252	204	19	entropy	entropy	NOUN
fcis-30252	204	20	of	of	ADP
fcis-30252	204	21	the	the	DET
fcis-30252	204	22	sensitive	sensitive	ADJ
fcis-30252	204	23	feature	feature	NOUN
fcis-30252	204	24	components	component	NOUN
fcis-30252	204	25	as	as	ADP
fcis-30252	204	26	features	feature	NOUN
fcis-30252	204	27	.	.	PUNCT
fcis-30252	205	1	the	the	DET
fcis-30252	205	2	features	feature	NOUN
fcis-30252	205	3	of	of	ADP
fcis-30252	205	4	the	the	DET
fcis-30252	205	5	above	above	ADJ
fcis-30252	205	6	three	three	NUM
fcis-30252	205	7	experiments	experiment	NOUN
fcis-30252	205	8	are	be	AUX
fcis-30252	205	9	input	input	VERB
fcis-30252	205	10	into	into	ADP
fcis-30252	205	11	the	the	DET
fcis-30252	205	12	svm	svm	ADJ
fcis-30252	205	13	classifier	classifier	NOUN
fcis-30252	205	14	,	,	PUNCT
fcis-30252	205	15	and	and	CCONJ
fcis-30252	205	16	the	the	DET
fcis-30252	205	17	experimental	experimental	ADJ
fcis-30252	205	18	results	result	NOUN
fcis-30252	205	19	are	be	AUX
fcis-30252	205	20	shown	show	VERB
fcis-30252	205	21	in	in	ADP
fcis-30252	205	22	table	table	NOUN
fcis-30252	205	23	4	4	NUM
fcis-30252	205	24	.	.	PUNCT
fcis-30252	206	1	the	the	DET
fcis-30252	206	2	experimental	experimental	ADJ
fcis-30252	206	3	results	result	NOUN
fcis-30252	206	4	show	show	VERB
fcis-30252	206	5	that	that	SCONJ
fcis-30252	206	6	the	the	DET
fcis-30252	206	7	screening	screening	NOUN
fcis-30252	206	8	method	method	NOUN
fcis-30252	206	9	based	base	VERB
fcis-30252	206	10	on	on	ADP
fcis-30252	206	11	crag	crag	NOUN
fcis-30252	206	12	-	-	PUNCT
fcis-30252	206	13	correlation	correlation	NOUN
fcis-30252	206	14	features	feature	NOUN
fcis-30252	206	15	can	can	AUX
fcis-30252	206	16	effectively	effectively	ADV
fcis-30252	206	17	improve	improve	VERB
fcis-30252	206	18	the	the	DET
fcis-30252	206	19	accuracy	accuracy	NOUN
fcis-30252	206	20	of	of	ADP
fcis-30252	206	21	feature	feature	NOUN
fcis-30252	206	22	selection	selection	NOUN
fcis-30252	206	23	,	,	PUNCT
fcis-30252	206	24	especially	especially	ADV
fcis-30252	206	25	in	in	ADP
fcis-30252	206	26	the	the	DET
fcis-30252	206	27	case	case	NOUN
fcis-30252	206	28	of	of	ADP
fcis-30252	206	29	higher	high	ADJ
fcis-30252	206	30	signal	signal	NOUN
fcis-30252	206	31	complexity	complexity	NOUN
fcis-30252	206	32	,	,	PUNCT
fcis-30252	206	33	and	and	CCONJ
fcis-30252	206	34	has	have	VERB
fcis-30252	206	35	better	well	ADJ
fcis-30252	206	36	diagnostic	diagnostic	ADJ
fcis-30252	206	37	performance	performance	NOUN
fcis-30252	206	38	.	.	PUNCT
fcis-30252	207	1	table	table	NOUN
fcis-30252	207	2	4	4	NUM
fcis-30252	207	3	.	.	PUNCT
fcis-30252	208	1	svm	svm	VERB
fcis-30252	208	2	classification	classification	NOUN
fcis-30252	208	3	accuracy	accuracy	NOUN
fcis-30252	208	4	for	for	ADP
fcis-30252	208	5	different	different	ADJ
fcis-30252	208	6	feature	feature	NOUN
fcis-30252	208	7	extraction	extraction	NOUN
fcis-30252	208	8	methods	method	NOUN
fcis-30252	208	9	feature	feature	VERB
fcis-30252	208	10	extraction	extraction	NOUN
fcis-30252	208	11	methods	method	NOUN
fcis-30252	208	12	outer	outer	ADJ
fcis-30252	208	13	ring	ring	NOUN
fcis-30252	208	14	failure	failure	NOUN
fcis-30252	208	15	rolling	roll	VERB
fcis-30252	208	16	body	body	NOUN
fcis-30252	208	17	failure	failure	NOUN
fcis-30252	208	18	inner	inner	ADJ
fcis-30252	208	19	ring	ring	NOUN
fcis-30252	208	20	failure	failure	NOUN
fcis-30252	208	21	accuracy	accuracy	NOUN
fcis-30252	208	22	eemd	eemd	PROPN
fcis-30252	208	23	11	11	NUM
fcis-30252	208	24	11	11	NUM
fcis-30252	208	25	19	19	NUM
fcis-30252	208	26	68.3	68.3	NUM
fcis-30252	208	27	%	%	NOUN
fcis-30252	208	28	eemd	eemd	NOUN
fcis-30252	208	29	vs.	vs.	ADP
fcis-30252	208	30	pvalue	pvalue	NOUN
fcis-30252	208	31	14	14	NUM
fcis-30252	208	32	10	10	NUM
fcis-30252	208	33	18	18	NUM
fcis-30252	208	34	70.0	70.0	NUM
fcis-30252	208	35	%	%	NOUN
fcis-30252	208	36	ceemdan	ceemdan	NOUN
fcis-30252	208	37	with	with	ADP
fcis-30252	208	38	p	p	NOUN
fcis-30252	208	39	-	-	PUNCT
fcis-30252	208	40	value	value	NOUN
fcis-30252	208	41	20	20	NUM
fcis-30252	208	42	17	17	NUM
fcis-30252	208	43	15	15	NUM
fcis-30252	208	44	86.7	86.7	NUM
fcis-30252	208	45	%	%	NOUN
fcis-30252	208	46	5.4	5.4	NUM
fcis-30252	208	47	.	.	PUNCT
fcis-30252	209	1	comparison	comparison	NOUN
fcis-30252	209	2	of	of	ADP
fcis-30252	209	3	the	the	DET
fcis-30252	209	4	effect	effect	NOUN
fcis-30252	209	5	of	of	ADP
fcis-30252	209	6	svm	svm	PROPN
fcis-30252	209	7	with	with	ADP
fcis-30252	209	8	different	different	ADJ
fcis-30252	209	9	classifiers	classifier	NOUN
fcis-30252	209	10	in	in	ADP
fcis-30252	209	11	order	order	NOUN
fcis-30252	209	12	to	to	PART
fcis-30252	209	13	further	far	ADV
fcis-30252	209	14	demonstrate	demonstrate	VERB
fcis-30252	209	15	the	the	DET
fcis-30252	209	16	advantages	advantage	NOUN
fcis-30252	209	17	of	of	ADP
fcis-30252	209	18	svm	svm	ADJ
fcis-30252	209	19	classifier	classifier	NOUN
fcis-30252	209	20	under	under	ADP
fcis-30252	209	21	the	the	DET
fcis-30252	209	22	optimization	optimization	NOUN
fcis-30252	209	23	of	of	ADP
fcis-30252	209	24	enhanced	enhanced	ADJ
fcis-30252	209	25	multi	multi	ADJ
fcis-30252	209	26	-	-	ADJ
fcis-30252	209	27	strategy	strategy	ADJ
fcis-30252	209	28	sparrow	sparrow	NOUN
fcis-30252	209	29	search	search	NOUN
fcis-30252	209	30	algorithm	algorithm	NOUN
fcis-30252	209	31	over	over	ADP
fcis-30252	209	32	other	other	ADJ
fcis-30252	209	33	excellent	excellent	ADJ
fcis-30252	209	34	algorithms	algorithm	NOUN
fcis-30252	209	35	,	,	PUNCT
fcis-30252	209	36	the	the	DET
fcis-30252	209	37	feature	feature	NOUN
fcis-30252	209	38	vectors	vector	NOUN
fcis-30252	209	39	are	be	AUX
fcis-30252	209	40	inputted	inputte	VERB
fcis-30252	209	41	into	into	ADP
fcis-30252	209	42	the	the	DET
fcis-30252	209	43	following	follow	VERB
fcis-30252	209	44	classification	classification	NOUN
fcis-30252	209	45	models	model	NOUN
fcis-30252	209	46	for	for	ADP
fcis-30252	209	47	comparison	comparison	NOUN
fcis-30252	209	48	:	:	PUNCT
fcis-30252	209	49	svm	svm	ADJ
fcis-30252	209	50	,	,	PUNCT
fcis-30252	209	51	pso	pso	NOUN
fcis-30252	209	52	-	-	PUNCT
fcis-30252	209	53	svm	svm	PROPN
fcis-30252	209	54	,	,	PUNCT
fcis-30252	209	55	ssa	ssa	NOUN
fcis-30252	209	56	-	-	PUNCT
fcis-30252	209	57	svm	svm	NOUN
fcis-30252	209	58	,	,	PUNCT
fcis-30252	209	59	and	and	CCONJ
fcis-30252	209	60	messa	messa	NOUN
fcis-30252	209	61	-	-	PUNCT
fcis-30252	209	62	svm	svm	PROPN
fcis-30252	209	63	,	,	PUNCT
fcis-30252	209	64	respectively	respectively	ADV
fcis-30252	209	65	.	.	PUNCT
fcis-30252	210	1	the	the	DET
fcis-30252	210	2	number	number	NOUN
fcis-30252	210	3	of	of	ADP
fcis-30252	210	4	populations	population	NOUN
fcis-30252	210	5	of	of	ADP
fcis-30252	210	6	each	each	DET
fcis-30252	210	7	classification	classification	NOUN
fcis-30252	210	8	model	model	NOUN
fcis-30252	210	9	is	be	AUX
fcis-30252	210	10	uniformly	uniformly	ADV
fcis-30252	210	11	set	set	VERB
fcis-30252	210	12	to	to	ADP
fcis-30252	210	13	30	30	NUM
fcis-30252	210	14	,	,	PUNCT
fcis-30252	210	15	and	and	CCONJ
fcis-30252	210	16	the	the	DET
fcis-30252	210	17	number	number	NOUN
fcis-30252	210	18	of	of	ADP
fcis-30252	210	19	iterations	iteration	NOUN
fcis-30252	210	20	is	be	AUX
fcis-30252	210	21	50	50	NUM
fcis-30252	210	22	times	time	NOUN
fcis-30252	210	23	.	.	PUNCT
fcis-30252	211	1	the	the	DET
fcis-30252	211	2	recognition	recognition	NOUN
fcis-30252	211	3	result	result	NOUN
fcis-30252	211	4	graph	graph	NOUN
fcis-30252	211	5	is	be	AUX
fcis-30252	211	6	shown	show	VERB
fcis-30252	211	7	in	in	ADP
fcis-30252	211	8	fig	fig	NOUN
fcis-30252	211	9	.	.	PUNCT
fcis-30252	212	1	5	5	NUM
fcis-30252	212	2	,	,	PUNCT
fcis-30252	212	3	svm	svm	ADJ
fcis-30252	212	4	model	model	NOUN
fcis-30252	212	5	has	have	VERB
fcis-30252	212	6	8	8	NUM
fcis-30252	212	7	groups	group	NOUN
fcis-30252	212	8	of	of	ADP
fcis-30252	212	9	samples	sample	NOUN
fcis-30252	212	10	failed	fail	VERB
fcis-30252	212	11	to	to	PART
fcis-30252	212	12	recognize	recognize	VERB
fcis-30252	212	13	correctly	correctly	ADV
fcis-30252	212	14	,	,	PUNCT
fcis-30252	212	15	pso	pso	NOUN
fcis-30252	212	16	-	-	PUNCT
fcis-30252	212	17	svm	svm	PROPN
fcis-30252	212	18	and	and	CCONJ
fcis-30252	212	19	ssa	ssa	NOUN
fcis-30252	212	20	-	-	PUNCT
fcis-30252	212	21	svm	svm	NOUN
fcis-30252	212	22	models	model	NOUN
fcis-30252	212	23	have	have	VERB
fcis-30252	212	24	4	4	NUM
fcis-30252	212	25	groups	group	NOUN
fcis-30252	212	26	of	of	ADP
fcis-30252	212	27	samples	sample	NOUN
fcis-30252	212	28	recognized	recognize	VERB
fcis-30252	212	29	incorrectly	incorrectly	ADV
fcis-30252	212	30	respectively	respectively	ADV
fcis-30252	212	31	,	,	PUNCT
fcis-30252	212	32	which	which	PRON
fcis-30252	212	33	is	be	AUX
fcis-30252	212	34	significantly	significantly	ADV
fcis-30252	212	35	improved	improve	VERB
fcis-30252	212	36	compared	compare	VERB
fcis-30252	212	37	with	with	ADP
fcis-30252	212	38	traditional	traditional	ADJ
fcis-30252	212	39	svm	svm	NOUN
fcis-30252	212	40	.	.	PROPN
fcis-30252	213	1	and	and	CCONJ
fcis-30252	213	2	the	the	DET
fcis-30252	213	3	improved	improved	ADJ
fcis-30252	213	4	messa	messa	ADJ
fcis-30252	213	5	-	-	PUNCT
fcis-30252	213	6	svm	svm	ADJ
fcis-30252	213	7	model	model	NOUN
fcis-30252	213	8	has	have	VERB
fcis-30252	213	9	only	only	ADV
fcis-30252	213	10	3	3	NUM
fcis-30252	213	11	groups	group	NOUN
fcis-30252	213	12	not	not	PART
fcis-30252	213	13	recognized	recognize	VERB
fcis-30252	213	14	correctly	correctly	ADV
fcis-30252	213	15	among	among	ADP
fcis-30252	213	16	60	60	NUM
fcis-30252	213	17	groups	group	NOUN
fcis-30252	213	18	of	of	ADP
fcis-30252	213	19	test	test	NOUN
fcis-30252	213	20	objects	object	NOUN
fcis-30252	213	21	,	,	PUNCT
fcis-30252	213	22	and	and	CCONJ
fcis-30252	213	23	the	the	DET
fcis-30252	213	24	overall	overall	ADJ
fcis-30252	213	25	recognition	recognition	NOUN
fcis-30252	213	26	accuracy	accuracy	NOUN
fcis-30252	213	27	reaches	reach	VERB
fcis-30252	213	28	95	95	NUM
fcis-30252	213	29	%	%	NOUN
fcis-30252	213	30	,	,	PUNCT
fcis-30252	213	31	which	which	PRON
fcis-30252	213	32	has	have	VERB
fcis-30252	213	33	a	a	DET
fcis-30252	213	34	significant	significant	ADJ
fcis-30252	213	35	advantage	advantage	NOUN
fcis-30252	213	36	over	over	ADP
fcis-30252	213	37	other	other	ADJ
fcis-30252	213	38	comparison	comparison	NOUN
fcis-30252	213	39	algorithms	algorithm	NOUN
fcis-30252	213	40	.	.	PUNCT
fcis-30252	214	1	a	a	DET
fcis-30252	214	2	comparison	comparison	NOUN
fcis-30252	214	3	of	of	ADP
fcis-30252	214	4	the	the	DET
fcis-30252	214	5	experimental	experimental	ADJ
fcis-30252	214	6	results	result	NOUN
fcis-30252	214	7	is	be	AUX
fcis-30252	214	8	shown	show	VERB
fcis-30252	214	9	in	in	ADP
fcis-30252	214	10	table	table	NOUN
fcis-30252	214	11	3	3	NUM
fcis-30252	214	12	,	,	PUNCT
fcis-30252	214	13	which	which	PRON
fcis-30252	214	14	indicates	indicate	VERB
fcis-30252	214	15	that	that	SCONJ
fcis-30252	214	16	the	the	DET
fcis-30252	214	17	messa	messa	ADJ
fcis-30252	214	18	-	-	PUNCT
fcis-30252	214	19	svm	svm	ADJ
fcis-30252	214	20	model	model	NOUN
fcis-30252	214	21	shows	show	VERB
fcis-30252	214	22	outstanding	outstanding	ADJ
fcis-30252	214	23	performance	performance	NOUN
fcis-30252	214	24	advantages	advantage	NOUN
fcis-30252	214	25	in	in	ADP
fcis-30252	214	26	the	the	DET
fcis-30252	214	27	bearing	bear	VERB
fcis-30252	214	28	fault	fault	NOUN
fcis-30252	214	29	diagnosis	diagnosis	NOUN
fcis-30252	214	30	task	task	NOUN
fcis-30252	214	31	.	.	PUNCT
fcis-30252	215	1	the	the	DET
fcis-30252	215	2	analysis	analysis	NOUN
fcis-30252	215	3	in	in	ADP
fcis-30252	215	4	table	table	NOUN
fcis-30252	215	5	5	5	NUM
fcis-30252	215	6	shows	show	VERB
fcis-30252	215	7	that	that	SCONJ
fcis-30252	215	8	the	the	DET
fcis-30252	215	9	classification	classification	NOUN
fcis-30252	215	10	accuracy	accuracy	NOUN
fcis-30252	215	11	of	of	ADP
fcis-30252	215	12	ordinary	ordinary	ADJ
fcis-30252	215	13	svm	svm	ADJ
fcis-30252	215	14	model	model	NOUN
fcis-30252	215	15	is	be	AUX
fcis-30252	215	16	86.7	86.7	NUM
fcis-30252	215	17	%	%	NOUN
fcis-30252	215	18	,	,	PUNCT
fcis-30252	215	19	which	which	PRON
fcis-30252	215	20	is	be	AUX
fcis-30252	215	21	the	the	DET
fcis-30252	215	22	worst	bad	ADJ
fcis-30252	215	23	classification	classification	NOUN
fcis-30252	215	24	effect	effect	NOUN
fcis-30252	215	25	,	,	PUNCT
fcis-30252	215	26	ssa	ssa	NOUN
fcis-30252	215	27	svm	svm	PROPN
fcis-30252	215	28	model	model	NOUN
fcis-30252	215	29	and	and	CCONJ
fcis-30252	215	30	pso	pso	NOUN
fcis-30252	215	31	svm	svm	NOUN
fcis-30252	215	32	have	have	AUX
fcis-30252	215	33	improved	improve	VERB
fcis-30252	215	34	the	the	DET
fcis-30252	215	35	accuracy	accuracy	NOUN
fcis-30252	215	36	compared	compare	VERB
fcis-30252	215	37	with	with	ADP
fcis-30252	215	38	svm	svm	ADJ
fcis-30252	215	39	classifier	classifier	NOUN
fcis-30252	215	40	,	,	PUNCT
fcis-30252	215	41	and	and	CCONJ
fcis-30252	215	42	the	the	DET
fcis-30252	215	43	classification	classification	NOUN
fcis-30252	215	44	accuracy	accuracy	NOUN
fcis-30252	215	45	is	be	AUX
fcis-30252	215	46	93.3	93.3	NUM
fcis-30252	215	47	%	%	NOUN
fcis-30252	215	48	,	,	PUNCT
fcis-30252	215	49	and	and	CCONJ
fcis-30252	215	50	the	the	DET
fcis-30252	215	51	classification	classification	NOUN
fcis-30252	215	52	accuracy	accuracy	NOUN
fcis-30252	215	53	of	of	ADP
fcis-30252	215	54	messa	messa	PROPN
fcis-30252	215	55	svm	svm	PROPN
fcis-30252	215	56	classifier	classifier	NOUN
fcis-30252	215	57	is	be	AUX
fcis-30252	215	58	improved	improve	VERB
fcis-30252	215	59	by	by	ADP
fcis-30252	215	60	1.7	1.7	NUM
fcis-30252	215	61	%	%	NOUN
fcis-30252	215	62	based	base	VERB
fcis-30252	215	63	on	on	ADP
fcis-30252	215	64	ssa	ssa	PROPN
fcis-30252	215	65	svm	svm	PROPN
fcis-30252	215	66	,	,	PUNCT
fcis-30252	215	67	and	and	CCONJ
fcis-30252	215	68	the	the	DET
fcis-30252	215	69	classification	classification	NOUN
fcis-30252	215	70	accuracy	accuracy	NOUN
fcis-30252	215	71	is	be	AUX
fcis-30252	215	72	95	95	NUM
fcis-30252	215	73	%	%	NOUN
fcis-30252	215	74	at	at	ADP
fcis-30252	215	75	the	the	DET
fcis-30252	215	76	highest	high	ADJ
fcis-30252	215	77	.	.	PUNCT
fcis-30252	216	1	in	in	ADP
fcis-30252	216	2	summary	summary	NOUN
fcis-30252	216	3	,	,	PUNCT
fcis-30252	216	4	the	the	DET
fcis-30252	216	5	messa	messa	PROPN
fcis-30252	216	6	svm	svm	PROPN
fcis-30252	216	7	classifier	classifier	NOUN
fcis-30252	216	8	shows	show	VERB
fcis-30252	216	9	more	more	ADV
fcis-30252	216	10	superior	superior	ADJ
fcis-30252	216	11	performance	performance	NOUN
fcis-30252	216	12	in	in	ADP
fcis-30252	216	13	bearing	bear	VERB
fcis-30252	216	14	fault	fault	NOUN
fcis-30252	216	15	diagnosis	diagnosis	NOUN
fcis-30252	216	16	.	.	PUNCT
fcis-30252	217	1	6	6	X
fcis-30252	217	2	.	.	X
fcis-30252	217	3	conclusion	conclusion	NOUN
fcis-30252	217	4	in	in	ADP
fcis-30252	217	5	order	order	NOUN
fcis-30252	217	6	to	to	PART
fcis-30252	217	7	accurately	accurately	ADV
fcis-30252	217	8	identify	identify	VERB
fcis-30252	217	9	rolling	rolling	ADJ
fcis-30252	217	10	bearing	bear	VERB
fcis-30252	217	11	faults	fault	NOUN
fcis-30252	217	12	based	base	VERB
fcis-30252	217	13	on	on	ADP
fcis-30252	217	14	acoustic	acoustic	ADJ
fcis-30252	217	15	emission	emission	NOUN
fcis-30252	217	16	signals	signal	NOUN
fcis-30252	217	17	,	,	PUNCT
fcis-30252	217	18	this	this	DET
fcis-30252	217	19	paper	paper	NOUN
fcis-30252	217	20	proposes	propose	VERB
fcis-30252	217	21	a	a	DET
fcis-30252	217	22	weight	weight	NOUN
fcis-30252	217	23	component	component	NOUN
fcis-30252	217	24	screening	screening	NOUN
fcis-30252	217	25	method	method	NOUN
fcis-30252	217	26	based	base	VERB
fcis-30252	217	27	on	on	ADP
fcis-30252	217	28	craggy	craggy	ADJ
fcis-30252	217	29	-	-	PUNCT
fcis-30252	217	30	correlation	correlation	NOUN
fcis-30252	217	31	features	feature	NOUN
fcis-30252	217	32	and	and	CCONJ
fcis-30252	217	33	a	a	DET
fcis-30252	217	34	feature	feature	NOUN
fcis-30252	217	35	extraction	extraction	NOUN
fcis-30252	217	36	process	process	NOUN
fcis-30252	217	37	of	of	ADP
fcis-30252	217	38	ceemdan	ceemdan	PROPN
fcis-30252	217	39	arrangement	arrangement	NOUN
fcis-30252	217	40	entropy	entropy	NOUN
fcis-30252	217	41	,	,	PUNCT
fcis-30252	217	42	as	as	ADV
fcis-30252	217	43	well	well	ADV
fcis-30252	217	44	as	as	ADP
fcis-30252	217	45	a	a	DET
fcis-30252	217	46	rolling	rolling	ADJ
fcis-30252	217	47	bearing	bear	VERB
fcis-30252	217	48	acoustic	acoustic	ADJ
fcis-30252	217	49	emission	emission	NOUN
fcis-30252	217	50	fault	fault	NOUN
fcis-30252	217	51	diagnosis	diagnosis	NOUN
fcis-30252	217	52	method	method	NOUN
fcis-30252	217	53	of	of	ADP
fcis-30252	217	54	messa	messa	NOUN
fcis-30252	217	55	-	-	PUNCT
fcis-30252	217	56	svm	svm	NOUN
fcis-30252	217	57	.	.	PROPN
fcis-30252	217	58	through	through	ADP
fcis-30252	217	59	theoretical	theoretical	ADJ
fcis-30252	217	60	analysis	analysis	NOUN
fcis-30252	217	61	and	and	CCONJ
fcis-30252	217	62	experimental	experimental	ADJ
fcis-30252	217	63	verification	verification	NOUN
fcis-30252	217	64	,	,	PUNCT
fcis-30252	217	65	the	the	DET
fcis-30252	217	66	following	follow	VERB
fcis-30252	217	67	main	main	ADJ
fcis-30252	217	68	conclusions	conclusion	NOUN
fcis-30252	217	69	are	be	AUX
fcis-30252	217	70	drawn	draw	VERB
fcis-30252	217	71	:	:	PUNCT
fcis-30252	217	72	(	(	PUNCT
fcis-30252	217	73	1	1	X
fcis-30252	217	74	)	)	PUNCT
fcis-30252	217	75	a	a	DET
fcis-30252	217	76	weight	weight	NOUN
fcis-30252	217	77	component	component	NOUN
fcis-30252	217	78	screening	screening	NOUN
fcis-30252	217	79	method	method	NOUN
fcis-30252	217	80	based	base	VERB
fcis-30252	217	81	on	on	ADP
fcis-30252	217	82	the	the	DET
fcis-30252	217	83	crag	crag	NOUN
fcis-30252	217	84	-	-	PUNCT
fcis-30252	217	85	correlation	correlation	NOUN
fcis-30252	217	86	feature	feature	NOUN
fcis-30252	217	87	is	be	AUX
fcis-30252	217	88	proposed	propose	VERB
fcis-30252	217	89	to	to	PART
fcis-30252	217	90	construct	construct	VERB
fcis-30252	217	91	a	a	DET
fcis-30252	217	92	multidimensional	multidimensional	ADJ
fcis-30252	217	93	fault	fault	NOUN
fcis-30252	217	94	characterization	characterization	NOUN
fcis-30252	217	95	factor	factor	NOUN
fcis-30252	217	96	p	p	NOUN
fcis-30252	217	97	by	by	ADP
fcis-30252	217	98	calculating	calculate	VERB
fcis-30252	217	99	the	the	DET
fcis-30252	217	100	crag	crag	NOUN
fcis-30252	217	101	value	value	NOUN
fcis-30252	217	102	and	and	CCONJ
fcis-30252	217	103	pearson	pearson	PROPN
fcis-30252	217	104	's	's	PART
fcis-30252	217	105	correlation	correlation	NOUN
fcis-30252	217	106	coefficient	coefficient	NOUN
fcis-30252	217	107	of	of	ADP
fcis-30252	217	108	imf	imf	PROPN
fcis-30252	217	109	components	component	NOUN
fcis-30252	217	110	,	,	PUNCT
fcis-30252	217	111	and	and	CCONJ
fcis-30252	217	112	experiments	experiment	NOUN
fcis-30252	217	113	have	have	AUX
fcis-30252	217	114	proved	prove	VERB
fcis-30252	217	115	that	that	SCONJ
fcis-30252	217	116	the	the	DET
fcis-30252	217	117	key	key	ADJ
fcis-30252	217	118	components	component	NOUN
fcis-30252	217	119	containing	contain	VERB
fcis-30252	217	120	fault	fault	NOUN
fcis-30252	217	121	information	information	NOUN
fcis-30252	217	122	are	be	AUX
fcis-30252	217	123	effectively	effectively	ADV
fcis-30252	217	124	identified	identify	VERB
fcis-30252	217	125	and	and	CCONJ
fcis-30252	217	126	screened	screen	VERB
fcis-30252	217	127	out	out	ADP
fcis-30252	217	128	,	,	PUNCT
fcis-30252	217	129	which	which	PRON
fcis-30252	217	130	improves	improve	VERB
fcis-30252	217	131	the	the	DET
fcis-30252	217	132	fault	fault	NOUN
fcis-30252	217	133	identification	identification	NOUN
fcis-30252	217	134	accuracy	accuracy	NOUN
fcis-30252	217	135	.	.	PUNCT
fcis-30252	218	1	147	147	NUM
fcis-30252	218	2	(	(	PUNCT
fcis-30252	218	3	a	a	NOUN
fcis-30252	218	4	)	)	PUNCT
fcis-30252	218	5	svm	svm	ADJ
fcis-30252	218	6	model	model	NOUN
fcis-30252	218	7	(	(	PUNCT
fcis-30252	218	8	b	b	NOUN
fcis-30252	218	9	)	)	PUNCT
fcis-30252	218	10	pso	pso	NOUN
fcis-30252	218	11	-	-	PUNCT
fcis-30252	218	12	svm	svm	NOUN
fcis-30252	218	13	modeling	modeling	NOUN
fcis-30252	218	14	(	(	PUNCT
fcis-30252	218	15	c	c	NOUN
fcis-30252	218	16	)	)	PUNCT
fcis-30252	218	17	ssa	ssa	NOUN
fcis-30252	218	18	-	-	PUNCT
fcis-30252	218	19	svm	svm	NOUN
fcis-30252	218	20	modeling	modeling	NOUN
fcis-30252	218	21	(	(	PUNCT
fcis-30252	218	22	d	d	NOUN
fcis-30252	218	23	)	)	PUNCT
fcis-30252	218	24	messa	messa	ADJ
fcis-30252	218	25	-	-	PUNCT
fcis-30252	218	26	svm	svm	ADJ
fcis-30252	218	27	modeling	modeling	NOUN
fcis-30252	218	28	figure	figure	NOUN
fcis-30252	218	29	5	5	NUM
fcis-30252	218	30	.	.	PUNCT
fcis-30252	218	31	diagram	diagram	NOUN
fcis-30252	218	32	of	of	ADP
fcis-30252	218	33	fault	fault	NOUN
fcis-30252	218	34	recognition	recognition	NOUN
fcis-30252	218	35	results	result	NOUN
fcis-30252	218	36	table	table	NOUN
fcis-30252	218	37	5	5	NUM
fcis-30252	218	38	.	.	PUNCT
fcis-30252	218	39	comparison	comparison	NOUN
fcis-30252	218	40	of	of	ADP
fcis-30252	218	41	results	result	NOUN
fcis-30252	218	42	classification	classification	NOUN
fcis-30252	218	43	model	model	NOUN
fcis-30252	218	44	number	number	NOUN
fcis-30252	218	45	of	of	ADP
fcis-30252	218	46	test	test	NOUN
fcis-30252	218	47	samples	sample	NOUN
fcis-30252	218	48	accuracy/	accuracy/	NUM
fcis-30252	218	49	(	(	PUNCT
fcis-30252	218	50	%	%	INTJ
fcis-30252	218	51	)	)	PUNCT
fcis-30252	218	52	svm	svm	VERB
fcis-30252	218	53	60	60	NUM
fcis-30252	218	54	86.7	86.7	NUM
fcis-30252	218	55	pso	pso	NOUN
fcis-30252	218	56	-	-	PUNCT
fcis-30252	218	57	svm	svm	NOUN
fcis-30252	218	58	60	60	NUM
fcis-30252	218	59	93.3	93.3	NUM
fcis-30252	218	60	ssa	ssa	NOUN
fcis-30252	218	61	-	-	PUNCT
fcis-30252	218	62	svm	svm	NOUN
fcis-30252	218	63	60	60	NUM
fcis-30252	218	64	93.3	93.3	NUM
fcis-30252	218	65	messa	messa	ADJ
fcis-30252	218	66	-	-	PUNCT
fcis-30252	218	67	svm	svm	ADJ
fcis-30252	218	68	60	60	NUM
fcis-30252	218	69	95	95	NUM
fcis-30252	218	70	(	(	PUNCT
fcis-30252	218	71	2	2	NUM
fcis-30252	218	72	)	)	PUNCT
fcis-30252	218	73	enhanced	enhance	VERB
fcis-30252	218	74	multi	multi	ADJ
fcis-30252	218	75	-	-	ADJ
fcis-30252	218	76	strategy	strategy	ADJ
fcis-30252	218	77	sparrow	sparrow	NOUN
fcis-30252	218	78	search	search	NOUN
fcis-30252	218	79	algorithm	algorithm	NOUN
fcis-30252	218	80	(	(	PUNCT
fcis-30252	218	81	messa	messa	NOUN
fcis-30252	218	82	)	)	PUNCT
fcis-30252	218	83	is	be	AUX
fcis-30252	218	84	designed	design	VERB
fcis-30252	218	85	,	,	PUNCT
fcis-30252	218	86	which	which	PRON
fcis-30252	218	87	effectively	effectively	ADV
fcis-30252	218	88	improves	improve	VERB
fcis-30252	218	89	the	the	DET
fcis-30252	218	90	global	global	ADJ
fcis-30252	218	91	search	search	NOUN
fcis-30252	218	92	ability	ability	NOUN
fcis-30252	218	93	and	and	CCONJ
fcis-30252	218	94	convergence	convergence	NOUN
fcis-30252	218	95	performance	performance	NOUN
fcis-30252	218	96	of	of	ADP
fcis-30252	218	97	the	the	DET
fcis-30252	218	98	algorithm	algorithm	NOUN
fcis-30252	218	99	by	by	ADP
fcis-30252	218	100	introducing	introduce	VERB
fcis-30252	218	101	population	population	NOUN
fcis-30252	218	102	diversity	diversity	NOUN
fcis-30252	218	103	optimization	optimization	NOUN
fcis-30252	218	104	initialization	initialization	NOUN
fcis-30252	218	105	based	base	VERB
fcis-30252	218	106	on	on	ADP
fcis-30252	218	107	euclidean	euclidean	ADJ
fcis-30252	218	108	distance	distance	NOUN
fcis-30252	218	109	,	,	PUNCT
fcis-30252	218	110	gaussian	gaussian	ADJ
fcis-30252	218	111	perturbation	perturbation	NOUN
fcis-30252	218	112	strategy	strategy	NOUN
fcis-30252	218	113	,	,	PUNCT
fcis-30252	218	114	and	and	CCONJ
fcis-30252	218	115	update	update	VERB
fcis-30252	218	116	strategy	strategy	NOUN
fcis-30252	218	117	guided	guide	VERB
fcis-30252	218	118	by	by	ADP
fcis-30252	218	119	fitness	fitness	NOUN
fcis-30252	218	120	difference	difference	NOUN
fcis-30252	218	121	.	.	PUNCT
fcis-30252	219	1	algorithm	algorithm	PROPN
fcis-30252	219	2	comparison	comparison	NOUN
fcis-30252	219	3	experiments	experiment	NOUN
fcis-30252	219	4	on	on	ADP
fcis-30252	219	5	14	14	NUM
fcis-30252	219	6	standard	standard	ADJ
fcis-30252	219	7	test	test	NOUN
fcis-30252	219	8	functions	function	NOUN
fcis-30252	219	9	show	show	VERB
fcis-30252	219	10	that	that	SCONJ
fcis-30252	219	11	messa	messa	PROPN
fcis-30252	219	12	has	have	VERB
fcis-30252	219	13	significant	significant	ADJ
fcis-30252	219	14	advantages	advantage	NOUN
fcis-30252	219	15	.	.	PUNCT
fcis-30252	220	1	(	(	PUNCT
fcis-30252	220	2	3	3	X
fcis-30252	220	3	)	)	PUNCT
fcis-30252	220	4	the	the	DET
fcis-30252	220	5	alignment	alignment	NOUN
fcis-30252	220	6	entropy	entropy	NOUN
fcis-30252	220	7	feature	feature	NOUN
fcis-30252	220	8	vectors	vector	NOUN
fcis-30252	220	9	are	be	AUX
fcis-30252	220	10	input	input	VERB
fcis-30252	220	11	into	into	ADP
fcis-30252	220	12	four	four	NUM
fcis-30252	220	13	classifiers	classifier	NOUN
fcis-30252	220	14	,	,	PUNCT
fcis-30252	220	15	svm	svm	ADJ
fcis-30252	220	16	,	,	PUNCT
fcis-30252	220	17	pso	pso	NOUN
fcis-30252	220	18	-	-	PUNCT
fcis-30252	220	19	svm	svm	PROPN
fcis-30252	220	20	,	,	PUNCT
fcis-30252	220	21	ssa	ssa	NOUN
fcis-30252	220	22	-	-	PUNCT
fcis-30252	220	23	svm	svm	PROPN
fcis-30252	220	24	and	and	CCONJ
fcis-30252	220	25	messasvm	messasvm	ADJ
fcis-30252	220	26	,	,	PUNCT
fcis-30252	220	27	respectively	respectively	ADV
fcis-30252	220	28	,	,	PUNCT
fcis-30252	220	29	for	for	ADP
fcis-30252	220	30	fault	fault	NOUN
fcis-30252	220	31	recognition	recognition	NOUN
fcis-30252	220	32	.	.	PUNCT
fcis-30252	221	1	the	the	DET
fcis-30252	221	2	results	result	NOUN
fcis-30252	221	3	show	show	VERB
fcis-30252	221	4	that	that	SCONJ
fcis-30252	221	5	the	the	DET
fcis-30252	221	6	recognition	recognition	NOUN
fcis-30252	221	7	accuracy	accuracy	NOUN
fcis-30252	221	8	of	of	ADP
fcis-30252	221	9	the	the	DET
fcis-30252	221	10	messa	messa	ADJ
fcis-30252	221	11	-	-	PUNCT
fcis-30252	221	12	svm	svm	ADJ
fcis-30252	221	13	classifier	classifier	NOUN
fcis-30252	221	14	reaches	reach	VERB
fcis-30252	221	15	95	95	NUM
fcis-30252	221	16	%	%	NOUN
fcis-30252	221	17	,	,	PUNCT
fcis-30252	221	18	which	which	PRON
fcis-30252	221	19	is	be	AUX
fcis-30252	221	20	8.3	8.3	NUM
fcis-30252	221	21	percentage	percentage	NOUN
fcis-30252	221	22	points	point	NOUN
fcis-30252	221	23	higher	high	ADJ
fcis-30252	221	24	than	than	ADP
fcis-30252	221	25	that	that	PRON
fcis-30252	221	26	of	of	ADP
fcis-30252	221	27	the	the	DET
fcis-30252	221	28	ordinary	ordinary	ADJ
fcis-30252	221	29	svm	svm	NOUN
fcis-30252	221	30	and	and	CCONJ
fcis-30252	221	31	1.7	1.7	NUM
fcis-30252	221	32	percentage	percentage	NOUN
fcis-30252	221	33	points	point	NOUN
fcis-30252	221	34	higher	high	ADJ
fcis-30252	221	35	than	than	ADP
fcis-30252	221	36	that	that	PRON
fcis-30252	221	37	of	of	ADP
fcis-30252	221	38	the	the	DET
fcis-30252	221	39	pso	pso	NOUN
fcis-30252	221	40	-	-	PUNCT
fcis-30252	221	41	svm	svm	PROPN
fcis-30252	221	42	and	and	CCONJ
fcis-30252	221	43	ssa	ssa	NOUN
fcis-30252	221	44	-	-	PUNCT
fcis-30252	221	45	svm	svm	NOUN
fcis-30252	221	46	,	,	PUNCT
fcis-30252	221	47	which	which	PRON
fcis-30252	221	48	verifies	verify	VERB
fcis-30252	221	49	the	the	DET
fcis-30252	221	50	superiority	superiority	NOUN
fcis-30252	221	51	of	of	ADP
fcis-30252	221	52	the	the	DET
fcis-30252	221	53	messa	messa	PROPN
fcis-30252	221	54	algorithm	algorithm	NOUN
fcis-30252	221	55	in	in	ADP
fcis-30252	221	56	bearing	bear	VERB
fcis-30252	221	57	fault	fault	NOUN
fcis-30252	221	58	diagnosis	diagnosis	NOUN
fcis-30252	221	59	.	.	PUNCT
fcis-30252	222	1	references	reference	NOUN
fcis-30252	222	2	[	[	X
fcis-30252	222	3	1	1	NUM
fcis-30252	222	4	]	]	PUNCT
fcis-30252	222	5	yu	yu	PROPN
fcis-30252	222	6	yang	yang	PROPN
fcis-30252	222	7	,	,	PUNCT
fcis-30252	222	8	he	he	PRON
fcis-30252	222	9	ming	ming	PROPN
fcis-30252	222	10	,	,	PUNCT
fcis-30252	222	11	liu	liu	PROPN
fcis-30252	222	12	bo	bo	PROPN
fcis-30252	222	13	,	,	PUNCT
fcis-30252	222	14	et	et	PROPN
fcis-30252	222	15	al	al	PROPN
fcis-30252	222	16	.	.	PUNCT
fcis-30252	222	17	recognition	recognition	NOUN
fcis-30252	222	18	of	of	ADP
fcis-30252	222	19	rolling	roll	VERB
fcis-30252	222	20	bearing	bear	VERB
fcis-30252	222	21	fault	fault	NOUN
fcis-30252	222	22	acoustic	acoustic	ADJ
fcis-30252	222	23	emission	emission	NOUN
fcis-30252	222	24	signal	signal	NOUN
fcis-30252	222	25	based	base	VERB
fcis-30252	222	26	on	on	ADP
fcis-30252	222	27	ga	ga	PROPN
fcis-30252	222	28	-	-	PUNCT
fcis-30252	222	29	idbn[j	idbn[j	PROPN
fcis-30252	222	30	]	]	PUNCT
fcis-30252	222	31	.	.	PUNCT
fcis-30252	223	1	nondestructive	nondestructive	ADJ
fcis-30252	223	2	testing	testing	NOUN
fcis-30252	223	3	,	,	PUNCT
fcis-30252	223	4	2020	2020	NUM
fcis-30252	223	5	,	,	PUNCT
fcis-30252	223	6	42(01):31	42(01):31	NUM
fcis-30252	223	7	-	-	SYM
fcis-30252	223	8	36	36	NUM
fcis-30252	223	9	.	.	PUNCT
fcis-30252	224	1	[	[	X
fcis-30252	224	2	2	2	X
fcis-30252	224	3	]	]	X
fcis-30252	224	4	huang	huang	PROPN
fcis-30252	224	5	hongchen	hongchen	ADV
fcis-30252	224	6	,	,	PUNCT
fcis-30252	224	7	han	han	PROPN
fcis-30252	224	8	zhennan	zhennan	PROPN
fcis-30252	224	9	,	,	PUNCT
fcis-30252	224	10	zhang	zhang	PROPN
fcis-30252	224	11	qianqian	qianqian	PROPN
fcis-30252	224	12	,	,	PUNCT
fcis-30252	224	13	et	et	PROPN
fcis-30252	224	14	al	al	PROPN
fcis-30252	224	15	.	.	PUNCT
fcis-30252	224	16	rolling	roll	VERB
fcis-30252	224	17	bearing	bear	VERB
fcis-30252	224	18	fault	fault	NOUN
fcis-30252	224	19	identification	identification	NOUN
fcis-30252	224	20	based	base	VERB
fcis-30252	224	21	on	on	ADP
fcis-30252	224	22	laplace	laplace	NOUN
fcis-30252	224	23	feature	feature	NOUN
fcis-30252	224	24	mapping[j	mapping[j	NOUN
fcis-30252	224	25	]	]	PUNCT
fcis-30252	224	26	.	.	PUNCT
fcis-30252	225	1	vibration	vibration	NOUN
fcis-30252	225	2	and	and	CCONJ
fcis-30252	225	3	shock	shock	NOUN
fcis-30252	225	4	2015	2015	NUM
fcis-30252	225	5	,	,	PUNCT
fcis-30252	225	6	34(5):128	34(5):128	NUM
fcis-30252	225	7	-	-	SYM
fcis-30252	225	8	134	134	NUM
fcis-30252	225	9	+	+	NOUN
fcis-30252	225	10	144	144	NUM
fcis-30252	225	11	.	.	PUNCT
fcis-30252	226	1	[	[	X
fcis-30252	226	2	3	3	X
fcis-30252	226	3	]	]	PUNCT
fcis-30252	226	4	xie	xie	PROPN
fcis-30252	226	5	x	x	X
fcis-30252	227	1	p	p	PROPN
fcis-30252	227	2	,	,	PUNCT
fcis-30252	227	3	cheng	cheng	PROPN
fcis-30252	227	4	s	s	PROPN
fcis-30252	227	5	j	j	PROPN
fcis-30252	227	6	,	,	PUNCT
fcis-30252	227	7	li	li	PROPN
fcis-30252	227	8	x	x	SYM
fcis-30252	227	9	y.	y.	NOUN
fcis-30252	227	10	vibration	vibration	NOUN
fcis-30252	227	11	diagnosis	diagnosis	NOUN
fcis-30252	227	12	and	and	CCONJ
fcis-30252	227	13	optimization	optimization	NOUN
fcis-30252	227	14	of	of	ADP
fcis-30252	227	15	industrial	industrial	ADJ
fcis-30252	227	16	robot	robot	NOUN
fcis-30252	227	17	based	base	VERB
fcis-30252	227	18	on	on	ADP
fcis-30252	227	19	tpa	tpa	PROPN
fcis-30252	227	20	and	and	CCONJ
fcis-30252	227	21	emd	emd	PROPN
fcis-30252	227	22	methods	method	NOUN
fcis-30252	227	23	[	[	X
fcis-30252	227	24	j	j	X
fcis-30252	227	25	]	]	X
fcis-30252	227	26	.	.	PUNCT
fcis-30252	228	1	computer	computer	NOUN
fcis-30252	228	2	modeling	modeling	NOUN
fcis-30252	228	3	in	in	ADP
fcis-30252	228	4	engineering	engineering	NOUN
fcis-30252	228	5	&	&	CCONJ
fcis-30252	228	6	sciences	sciences	PROPN
fcis-30252	228	7	,	,	PUNCT
fcis-30252	228	8	2023	2023	NUM
fcis-30252	228	9	,	,	PUNCT
fcis-30252	228	10	135	135	NUM
fcis-30252	228	11	(	(	PUNCT
fcis-30252	228	12	3	3	NUM
fcis-30252	228	13	)	)	PUNCT
fcis-30252	228	14	[	[	X
fcis-30252	228	15	4	4	X
fcis-30252	228	16	]	]	PUNCT
fcis-30252	228	17	van	van	PROPN
fcis-30252	228	18	h	h	PROPN
fcis-30252	228	19	b	b	PROPN
fcis-30252	228	20	,	,	PUNCT
fcis-30252	228	21	he	he	PRON
fcis-30252	228	22	d	d	VERB
fcis-30252	228	23	,	,	PUNCT
fcis-30252	228	24	qu	qu	PROPN
fcis-30252	228	25	y.	y.	PROPN
fcis-30252	228	26	on	on	ADP
fcis-30252	228	27	the	the	DET
fcis-30252	228	28	use	use	NOUN
fcis-30252	228	29	of	of	ADP
fcis-30252	228	30	spectral	spectral	ADJ
fcis-30252	228	31	averaging	averaging	NOUN
fcis-30252	228	32	of	of	ADP
fcis-30252	228	33	acoustic	acoustic	ADJ
fcis-30252	228	34	emission	emission	NOUN
fcis-30252	228	35	signals	signal	NOUN
fcis-30252	228	36	for	for	ADP
fcis-30252	228	37	bearing	bear	VERB
fcis-30252	228	38	fault	fault	NOUN
fcis-30252	228	39	diagnostics[j	diagnostics[j	NOUN
fcis-30252	228	40	]	]	PUNCT
fcis-30252	228	41	.	.	PUNCT
fcis-30252	229	1	2014	2014	NUM
fcis-30252	229	2	,	,	PUNCT
fcis-30252	229	3	136	136	NUM
fcis-30252	229	4	(	(	PUNCT
fcis-30252	229	5	6	6	NUM
fcis-30252	229	6	):	):	SYM
fcis-30252	229	7	1	1	NUM
fcis-30252	229	8	13	13	NUM
fcis-30252	229	9	.	.	PUNCT
fcis-30252	230	1	[	[	X
fcis-30252	230	2	5	5	X
fcis-30252	230	3	]	]	PUNCT
fcis-30252	230	4	m.	m.	PROPN
fcis-30252	230	5	e.	e.	PROPN
fcis-30252	230	6	torres	torres	PROPN
fcis-30252	230	7	,	,	PUNCT
fcis-30252	230	8	m.	m.	NOUN
fcis-30252	230	9	a.	a.	NOUN
fcis-30252	230	10	colominas	colominas	PROPN
fcis-30252	230	11	,	,	PUNCT
fcis-30252	230	12	et	et	PROPN
fcis-30252	230	13	al	al	PROPN
fcis-30252	230	14	.	.	PUNCT
fcis-30252	231	1	"	"	PUNCT
fcis-30252	231	2	a	a	DET
fcis-30252	231	3	complete	complete	ADJ
fcis-30252	231	4	ensemble	ensemble	ADJ
fcis-30252	231	5	empirical	empirical	ADJ
fcis-30252	231	6	mode	mode	NOUN
fcis-30252	231	7	decomposition	decomposition	NOUN
fcis-30252	231	8	with	with	ADP
fcis-30252	231	9	adaptive	adaptive	ADJ
fcis-30252	231	10	noise	noise	NOUN
fcis-30252	231	11	,	,	PUNCT
fcis-30252	231	12	"	"	PUNCT
fcis-30252	231	13	2011	2011	NUM
fcis-30252	231	14	ieee	ieee	PROPN
fcis-30252	231	15	international	international	ADJ
fcis-30252	231	16	conference	conference	NOUN
fcis-30252	231	17	on	on	ADP
fcis-30252	231	18	acoustics	acoustic	NOUN
fcis-30252	231	19	,	,	PUNCT
fcis-30252	231	20	speech	speech	NOUN
fcis-30252	231	21	and	and	CCONJ
fcis-30252	231	22	signal	signal	NOUN
fcis-30252	231	23	processing	processing	NOUN
fcis-30252	231	24	(	(	PUNCT
fcis-30252	231	25	icassp	icassp	PROPN
fcis-30252	231	26	)	)	PUNCT
fcis-30252	231	27	,	,	PUNCT
fcis-30252	231	28	prague	prague	PROPN
fcis-30252	231	29	,	,	PUNCT
fcis-30252	231	30	czech	czech	PROPN
fcis-30252	231	31	republic	republic	NOUN
fcis-30252	231	32	,	,	PUNCT
fcis-30252	231	33	2011	2011	NUM
fcis-30252	231	34	,	,	PUNCT
fcis-30252	231	35	pp	pp	ADJ
fcis-30252	231	36	.	.	PUNCT
fcis-30252	232	1	4144	4144	NUM
fcis-30252	232	2	-	-	SYM
fcis-30252	232	3	4147	4147	NUM
fcis-30252	232	4	.	.	PUNCT
fcis-30252	233	1	[	[	X
fcis-30252	233	2	6	6	NUM
fcis-30252	233	3	]	]	X
fcis-30252	233	4	xiang	xiang	PROPN
fcis-30252	233	5	mingsheng	mingsheng	PROPN
fcis-30252	233	6	,	,	PUNCT
fcis-30252	233	7	feng	feng	PROPN
fcis-30252	233	8	kun	kun	PROPN
fcis-30252	233	9	,	,	PUNCT
fcis-30252	233	10	jia	jia	PROPN
fcis-30252	233	11	shaohui	shaohui	PROPN
fcis-30252	233	12	,	,	PUNCT
fcis-30252	233	13	et	et	PROPN
fcis-30252	233	14	al	al	PROPN
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fcis-30252	233	17	-	-	ADJ
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fcis-30252	233	19	diagnosis	diagnosis	NOUN
fcis-30252	233	20	method	method	NOUN
fcis-30252	233	21	of	of	ADP
fcis-30252	233	22	centrifugal	centrifugal	ADJ
fcis-30252	233	23	pump	pump	NOUN
fcis-30252	233	24	based	base	VERB
fcis-30252	233	25	on	on	ADP
fcis-30252	233	26	emd	emd	PROPN
fcis-30252	233	27	-	-	PUNCT
fcis-30252	233	28	ae	ae	PROPN
fcis-30252	233	29	preferred	prefer	VERB
fcis-30252	233	30	features	feature	NOUN
fcis-30252	233	31	under	under	ADP
fcis-30252	233	32	strong	strong	ADJ
fcis-30252	233	33	noise	noise	NOUN
fcis-30252	233	34	conditions[j	conditions[j	PROPN
fcis-30252	233	35	]	]	PUNCT
fcis-30252	233	36	.	.	PUNCT
fcis-30252	234	1	vibration	vibration	NOUN
fcis-30252	234	2	and	and	CCONJ
fcis-30252	234	3	shock	shock	NOUN
fcis-30252	234	4	,	,	PUNCT
fcis-30252	234	5	2024	2024	NUM
fcis-30252	234	6	,	,	PUNCT
fcis-30252	234	7	43(23):66	43(23):66	NUM
fcis-30252	234	8	-	-	SYM
fcis-30252	234	9	74	74	NUM
fcis-30252	234	10	.	.	PUNCT
fcis-30252	235	1	[	[	X
fcis-30252	235	2	7	7	X
fcis-30252	235	3	]	]	X
fcis-30252	235	4	wei	wei	PROPN
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fcis-30252	235	6	,	,	PUNCT
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fcis-30252	235	8	zhihai	zhihai	PROPN
fcis-30252	235	9	,	,	PUNCT
fcis-30252	235	10	liu	liu	PROPN
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fcis-30252	235	12	,	,	PUNCT
fcis-30252	235	13	et	et	PROPN
fcis-30252	235	14	al	al	PROPN
fcis-30252	235	15	.	.	PUNCT
fcis-30252	235	16	acoustic	acoustic	ADJ
fcis-30252	235	17	emission	emission	NOUN
fcis-30252	235	18	diagnosis	diagnosis	NOUN
fcis-30252	235	19	of	of	ADP
fcis-30252	235	20	rolling	rolling	ADJ
fcis-30252	235	21	bearing	bear	VERB
fcis-30252	235	22	faults	fault	NOUN
fcis-30252	235	23	based	base	VERB
fcis-30252	235	24	on	on	ADP
fcis-30252	235	25	mdff	mdff	NOUN
fcis-30252	235	26	and	and	CCONJ
fcis-30252	235	27	issa[j	issa[j	NOUN
fcis-30252	235	28	]	]	PUNCT
fcis-30252	235	29	.	.	PUNCT
fcis-30252	236	1	vibration	vibration	NOUN
fcis-30252	236	2	and	and	CCONJ
fcis-30252	236	3	shock	shock	NOUN
fcis-30252	236	4	,	,	PUNCT
fcis-30252	236	5	2023	2023	NUM
fcis-30252	236	6	,	,	PUNCT
fcis-30252	236	7	42(07):65	42(07):65	NUM
fcis-30252	236	8	-	-	SYM
fcis-30252	236	9	76	76	NUM
fcis-30252	236	10	.	.	PUNCT
fcis-30252	237	1	[	[	X
fcis-30252	237	2	8	8	NUM
fcis-30252	237	3	]	]	PUNCT
fcis-30252	237	4	he	he	PRON
fcis-30252	237	5	cheng	cheng	PROPN
fcis-30252	237	6	,	,	PUNCT
fcis-30252	237	7	wu	wu	PROPN
fcis-30252	237	8	tao	tao	PROPN
fcis-30252	237	9	,	,	PUNCT
fcis-30252	237	10	gu	gu	NOUN
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fcis-30252	237	13	et	et	PROPN
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fcis-30252	238	2	bearing	bear	VERB
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fcis-30252	238	4	diagnosis	diagnosis	NOUN
fcis-30252	238	5	based	base	VERB
fcis-30252	238	6	on	on	ADP
fcis-30252	238	7	composite	composite	ADJ
fcis-30252	238	8	multiscale	multiscale	ADJ
fcis-30252	238	9	permutation	permutation	NOUN
fcis-30252	238	10	entropy	entropy	NOUN
fcis-30252	238	11	and	and	CCONJ
fcis-30252	238	12	reverse	reverse	VERB
fcis-30252	238	13	cognitive	cognitive	ADJ
fcis-30252	238	14	fruit	fruit	NOUN
fcis-30252	238	15	fly	fly	NOUN
fcis-30252	238	16	optimization	optimization	NOUN
fcis-30252	238	17	algorithm	algorithm	NOUN
fcis-30252	238	18	extreme	extreme	ADJ
fcis-30252	238	19	learning	learning	PROPN
fcis-30252	238	20	machine[j	machine[j	PROPN
fcis-30252	238	21	]	]	PUNCT
fcis-30252	238	22	.	.	PUNCT
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fcis-30252	239	2	,	,	PUNCT
fcis-30252	239	3	2021	2021	NUM
fcis-30252	239	4	,	,	PUNCT
fcis-30252	239	5	173	173	NUM
fcis-30252	239	6	:	:	SYM
fcis-30252	239	7	108636	108636	NUM
fcis-30252	239	8	.	.	PUNCT
fcis-30252	240	1	[	[	X
fcis-30252	240	2	9	9	NUM
fcis-30252	240	3	]	]	SYM
fcis-30252	240	4	yu	yu	PROPN
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fcis-30252	240	6	,	,	PUNCT
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fcis-30252	240	13	et	et	PROPN
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fcis-30252	241	4	extraction	extraction	NOUN
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fcis-30252	241	7	bearing	bear	VERB
fcis-30252	241	8	fault	fault	NOUN
fcis-30252	241	9	acoustic	acoustic	ADJ
fcis-30252	241	10	emission	emission	NOUN
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fcis-30252	241	12	with	with	ADP
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fcis-30252	241	14	wavelet	wavelet	NOUN
fcis-30252	241	15	threshold	threshold	NOUN
fcis-30252	241	16	function	function	NOUN
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fcis-30252	241	19	method[j	method[j	PROPN
fcis-30252	241	20	]	]	PUNCT
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fcis-30252	242	4	,	,	PUNCT
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fcis-30252	242	6	,	,	PUNCT
fcis-30252	242	7	42(17	42(17	NUM
fcis-30252	242	8	):	):	PUNCT
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fcis-30252	242	10	-	-	SYM
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fcis-30252	242	12	.	.	PUNCT
fcis-30252	243	1	[	[	X
fcis-30252	243	2	10	10	NUM
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fcis-30252	243	13	et	et	PROPN
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fcis-30252	243	18	iceemdan	iceemdan	PROPN
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fcis-30252	243	24	in	in	ADP
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fcis-30252	243	26	bearing	bear	VERB
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fcis-30252	243	28	emission	emission	NOUN
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fcis-30252	243	31	]	]	PUNCT
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fcis-30252	244	9	-	-	SYM
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fcis-30252	244	13	.	.	PUNCT
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fcis-30252	245	30	turbine	turbine	NOUN
fcis-30252	245	31	148	148	NUM
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fcis-30252	245	35	]	]	PUNCT
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fcis-30252	246	9	-	-	SYM
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fcis-30252	248	4	weighted	weight	VERB
fcis-30252	248	5	arrangement	arrangement	NOUN
fcis-30252	248	6	entropy	entropy	NOUN
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fcis-30252	248	18	]	]	PUNCT
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fcis-30252	252	8	-	-	SYM
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fcis-30252	253	27	]	]	PUNCT
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fcis-30252	255	9	.	.	PUNCT
fcis-30252	256	1	research	research	NOUN
fcis-30252	256	2	on	on	ADP
fcis-30252	256	3	rolling	roll	VERB
fcis-30252	256	4	bearing	bear	VERB
fcis-30252	256	5	fault	fault	NOUN
fcis-30252	256	6	diagnosis	diagnosis	NOUN
fcis-30252	256	7	based	base	VERB
fcis-30252	256	8	on	on	ADP
fcis-30252	256	9	optimized	optimize	VERB
fcis-30252	256	10	support	support	NOUN
fcis-30252	256	11	vector	vector	NOUN
fcis-30252	256	12	machine	machine	NOUN
fcis-30252	256	13	with	with	ADP
fcis-30252	256	14	improved	improved	ADJ
fcis-30252	256	15	sparrow	sparrow	NOUN
fcis-30252	256	16	algorithm[j	algorithm[j	PROPN
fcis-30252	256	17	]	]	PUNCT
fcis-30252	256	18	.	.	PUNCT
fcis-30252	257	1	vibration	vibration	NOUN
fcis-30252	257	2	and	and	CCONJ
fcis-30252	257	3	shock	shock	NOUN
fcis-30252	257	4	,	,	PUNCT
fcis-30252	257	5	2023	2023	NUM
fcis-30252	257	6	,	,	PUNCT
fcis-30252	257	7	42(06	42(06	NUM
fcis-30252	257	8	):	):	PUNCT
fcis-30252	257	9	106	106	NUM
fcis-30252	257	10	-	-	SYM
fcis-30252	257	11	114	114	NUM
fcis-30252	257	12	.	.	PUNCT
fcis-30252	258	1	[	[	X
fcis-30252	258	2	16	16	NUM
fcis-30252	258	3	]	]	X
fcis-30252	258	4	hu	hu	PROPN
fcis-30252	259	1	xuan	xuan	PROPN
fcis-30252	259	2	,	,	PUNCT
fcis-30252	259	3	li	li	PROPN
fcis-30252	259	4	chun	chun	PROPN
fcis-30252	259	5	,	,	PUNCT
fcis-30252	259	6	ye	ye	PRON
fcis-30252	259	7	kehua	kehua	PROPN
fcis-30252	259	8	,	,	PUNCT
fcis-30252	259	9	et	et	PROPN
fcis-30252	259	10	al	al	PROPN
fcis-30252	259	11	.	.	PUNCT
fcis-30252	259	12	application	application	NOUN
fcis-30252	259	13	of	of	ADP
fcis-30252	259	14	improved	improve	VERB
fcis-30252	259	15	gray	gray	ADJ
fcis-30252	259	16	wolf	wolf	PROPN
fcis-30252	259	17	algorithm	algorithm	NOUN
fcis-30252	259	18	optimized	optimize	VERB
fcis-30252	259	19	support	support	NOUN
fcis-30252	259	20	vector	vector	NOUN
fcis-30252	259	21	machine	machine	NOUN
fcis-30252	259	22	in	in	ADP
fcis-30252	259	23	wind	wind	NOUN
fcis-30252	259	24	turbine	turbine	NOUN
fcis-30252	259	25	gearbox	gearbox	NOUN
fcis-30252	259	26	fault	fault	PROPN
fcis-30252	259	27	diagnosis[j	diagnosis[j	NOUN
fcis-30252	259	28	]	]	PUNCT
fcis-30252	259	29	.	.	PUNCT
fcis-30252	260	1	mechanical	mechanical	ADJ
fcis-30252	260	2	strength	strength	NOUN
fcis-30252	260	3	,	,	PUNCT
fcis-30252	260	4	2021	2021	NUM
fcis-30252	260	5	,	,	PUNCT
fcis-30252	260	6	43(06):1289	43(06):1289	NUM
fcis-30252	260	7	-	-	SYM
fcis-30252	260	8	1296	1296	NUM
fcis-30252	260	9	.	.	PUNCT
fcis-30252	261	1	[	[	X
fcis-30252	261	2	17	17	NUM
fcis-30252	261	3	]	]	PUNCT
fcis-30252	261	4	yuan	yuan	PROPN
fcis-30252	261	5	xianfeng	xianfeng	PROPN
fcis-30252	261	6	,	,	PUNCT
fcis-30252	261	7	yan	yan	PROPN
fcis-30252	261	8	zichen	zichen	ADV
fcis-30252	261	9	,	,	PUNCT
fcis-30252	261	10	zhou	zhou	PROPN
fcis-30252	261	11	fengyu	fengyu	PROPN
fcis-30252	261	12	,	,	PUNCT
fcis-30252	261	13	et	et	PROPN
fcis-30252	261	14	al	al	PROPN
fcis-30252	261	15	.	.	PUNCT
fcis-30252	261	16	rolling	roll	VERB
fcis-30252	261	17	bearing	bear	VERB
fcis-30252	261	18	fault	fault	NOUN
fcis-30252	261	19	diagnosis	diagnosis	NOUN
fcis-30252	261	20	by	by	ADP
fcis-30252	261	21	ssae	ssae	NOUN
fcis-30252	261	22	and	and	CCONJ
fcis-30252	261	23	igwo	igwo	PROPN
fcis-30252	261	24	-	-	PUNCT
fcis-30252	261	25	svm[j	svm[j	NOUN
fcis-30252	261	26	]	]	PUNCT
fcis-30252	261	27	.	.	PUNCT
fcis-30252	262	1	vibration	vibration	NOUN
fcis-30252	262	2	.	.	PUNCT
fcis-30252	263	1	test	test	NOUN
fcis-30252	263	2	and	and	CCONJ
fcis-30252	263	3	diagnosis	diagnosis	NOUN
fcis-30252	263	4	,	,	PUNCT
fcis-30252	263	5	2020	2020	NUM
fcis-30252	263	6	,	,	PUNCT
fcis-30252	263	7	40(02):405	40(02):405	NUM
fcis-30252	263	8	-	-	SYM
fcis-30252	263	9	413	413	NUM
fcis-30252	263	10	+	+	NOUN
fcis-30252	263	11	424	424	NUM
fcis-30252	263	12	.	.	PUNCT
fcis-30252	264	1	[	[	X
fcis-30252	264	2	18	18	NUM
fcis-30252	264	3	]	]	SYM
fcis-30252	264	4	li	li	PROPN
fcis-30252	264	5	r	r	PROPN
fcis-30252	264	6	,	,	PUNCT
fcis-30252	264	7	fan	fan	PROPN
fcis-30252	264	8	yg	yg	PROPN
fcis-30252	264	9	.	.	PUNCT
fcis-30252	265	1	fault	fault	VERB
fcis-30252	265	2	diagnosis	diagnosis	NOUN
fcis-30252	265	3	of	of	ADP
fcis-30252	265	4	high	high	ADJ
fcis-30252	265	5	-	-	PUNCT
fcis-30252	265	6	pressure	pressure	NOUN
fcis-30252	265	7	diaphragm	diaphragm	NOUN
fcis-30252	265	8	pump	pump	NOUN
fcis-30252	265	9	check	check	NOUN
fcis-30252	265	10	valve	valve	NOUN
fcis-30252	265	11	based	base	VERB
fcis-30252	265	12	on	on	ADP
fcis-30252	265	13	ceemdan	ceemdan	PROPN
fcis-30252	265	14	multi	multi	ADJ
fcis-30252	265	15	-	-	ADJ
fcis-30252	265	16	scale	scale	ADJ
fcis-30252	265	17	arrangement	arrangement	NOUN
fcis-30252	265	18	entropy	entropy	NOUN
fcis-30252	265	19	and	and	CCONJ
fcis-30252	265	20	so	so	ADV
fcis-30252	265	21	-	-	PUNCT
fcis-30252	265	22	relm[j	relm[j	VERB
fcis-30252	265	23	]	]	PUNCT
fcis-30252	265	24	.	.	PUNCT
fcis-30252	266	1	vibration	vibration	NOUN
fcis-30252	266	2	and	and	CCONJ
fcis-30252	266	3	shock	shock	NOUN
fcis-30252	266	4	,	,	PUNCT
fcis-30252	266	5	2023	2023	NUM
fcis-30252	266	6	,	,	PUNCT
fcis-30252	266	7	42(05):127	42(05):127	NUM
fcis-30252	266	8	-	-	SYM
fcis-30252	266	9	135	135	NUM
fcis-30252	266	10	.	.	PUNCT